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2026-04-11T12:41:03.889649+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775911263889_m1.jpg...
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe
20525 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite
-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "PRAGMA wal_checkpoint;"
0|2604|2604
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "PRAGMA wal_checkpoint;"
0|577|577
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ rsync -avz --progress \
~/.screenpipe/db.sqlite \
Adm1n@:/volume1/docker/screenpipe/db.sqlite
DOCKER
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DEV (-zsh)
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APP (-zsh)
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-zsh
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-zsh
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⌥⌘1
-zsh...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe\n20525 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm\n\n-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite\n-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm\n-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"PRAGMA wal_checkpoint;\"\n0|2604|2604\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"PRAGMA wal_checkpoint;\"\n0|577|577\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ rsync -avz --progress \\\n ~/.screenpipe/db.sqlite \\\n Adm1n@:/volume1/docker/screenpipe/db.sqlite","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe\n20525 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm\n\n-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite\n-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm\n-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"PRAGMA wal_checkpoint;\"\n0|2604|2604\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"PRAGMA wal_checkpoint;\"\n0|577|577\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ rsync -avz --progress \\\n ~/.screenpipe/db.sqlite \\\n Adm1n@:/volume1/docker/screenpipe/db.sqlite","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio 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button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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7938738947765145158
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-8471237171767443987
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clipboard
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accessibility
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe
20525 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite
-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "PRAGMA wal_checkpoint;"
0|2604|2604
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite "PRAGMA wal_checkpoint;"
0|577|577
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ rsync -avz --progress \
~/.screenpipe/db.sqlite \
Adm1n@:/volume1/docker/screenpipe/db.sqlite
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
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-zsh
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-zsh
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⌥⌘1
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NULL
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938
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23
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11
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2026-04-11T12:39:37.836744+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775911177836_m1.jpg...
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iTerm2
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-zsh
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe
20525 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite
-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe\n20525 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm\n\n-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite\n-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm\n-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe\n20525 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm\n\n-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite\n-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm\n-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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-4739161985864955641
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-8471237171767452179
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clipboard
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accessibility
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe
20525 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite
-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
937
|
|
934
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23
|
7
|
2026-04-11T12:39:31.840381+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775911171840_m1.jpg...
|
iTerm2
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-zsh
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe
20525 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite
-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe\n20525 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm\n\n-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite\n-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm\n-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe\n20525 screenpipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm\n\n-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite\n-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm\n-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-7252719217944654158
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-8471237171767452179
|
visual_change
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ pgrep -l screenpipe
20525 screenpipe
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ ls -lh ~/.screenpipe/db.sqlite ~/.screenpipe/db.sqlite-wal ~/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 80M 11 Apr 15:37 /Users/lukas/.screenpipe/db.sqlite
-rw-r--r-- 1 lukas staff 32K 11 Apr 14:52 /Users/lukas/.screenpipe/db.sqlite-shm
-rw-r--r-- 1 lukas staff 8.5M 11 Apr 15:39 /Users/lukas/.screenpipe/db.sqlite-wal
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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933
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865
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20
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37
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2026-04-11T12:29:06.422777+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910546422_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
http://localhost:3030/pipes/day-recap/run
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
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-zsh
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-zsh
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⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXStaticText","text":"http://localhost:3030/pipes/day-recap/run","depth":3,"bounds":{"left":0.008333334,"top":0.97333336,"width":0.17916666,"height":0.017777778},"role_description":"text"},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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-121284081045145426
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-8435208374211609107
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clipboard
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accessibility
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
http://localhost:3030/pipes/day-recap/run
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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NULL
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854
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20
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26
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2026-04-11T12:28:28.449416+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910508449_m1.jpg...
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iTerm2
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-zsh
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-5040064046657482078
|
-8435208374211609107
|
visual_change
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
853
|
|
864
|
20
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36
|
2026-04-11T12:29:01.659950+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910541659_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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-5040064046657482078
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-8435208374211609107
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click
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accessibility
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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863
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928
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23
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1
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2026-04-11T12:39:22.098025+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775911162098_m1.jpg...
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iTerm2
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-zsh
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite \"\nSELECT pipe_name, status, started_at, finished_at, stdout, stderr\nFROM pipe_executions\nORDER BY started_at DESC\nLIMIT 5;\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-5040064046657482078
|
-8435208374211609107
|
visual_change
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $ sqlite3 ~/.screenpipe/db.sqlite "
SELECT pipe_name, status, started_at, finished_at, stdout, stderr
FROM pipe_executions
ORDER BY started_at DESC
LIMIT 5;"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
927
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849
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20
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21
|
2026-04-11T12:28:19.369279+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910499369_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
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NULL
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NULL
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NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-6960574572112031084
|
-8435208374211609107
|
visual_change
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
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AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
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lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl -X POST http://localhost:3030/pipes/time-breakdown/run | jq .\ncurl -X POST http://localhost:3030/pipes/day-recap/run | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 6152 0 --:--:-- --:--:-- --:--:-- 6363\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 70 100 70 0 0 14236 0 --:--:-- --:--:-- --:--:-- 17500\n{\n \"error\": \"agent 'pi' is not installed — run ensure_installed first\"\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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click
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accessibility
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl -X POST [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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851
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843
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20
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15
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2026-04-11T12:27:46.088214+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910466088_m1.jpg...
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iTerm2
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-zsh
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True
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NULL
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monitor_1
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
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2383013018574745247
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-8471237171767443987
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visual_change
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accessibility
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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NULL
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847
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20
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19
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2026-04-11T12:28:12.664642+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910492664_m1.jpg...
|
iTerm2
|
-zsh
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n }\n}\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 1876 100 1876 0 0 1218k 0 --:--:-- --:--:-- --:--:-- 1832k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n }\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes/time-breakdown | jq .\ncurl http://localhost:3030/pipes/day-recap | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 2193 100 2193 0 0 643k 0 --:--:-- --:--:-- --:--:-- 713k\n{\n \"data\": {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. 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2383013018574745247
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click
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accessibility
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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NULL
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836
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20
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8
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2026-04-11T12:26:36.063923+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910396063_m1.jpg...
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iTerm2
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-zsh
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
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Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-2710504821594427847
|
-8435208392465220115
|
visual_change
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-2710504821594427847
|
-8435208392465220115
|
visual_change
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
836
|
|
841
|
20
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13
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2026-04-11T12:27:41.574877+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775910461574_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
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NULL
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NULL
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NULL
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whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"value":"whisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh\n2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh\n2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXButton|Close Tab\nAXRadioButton|DOCKER\nAXRadioButton|DEV (-zsh)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl http://localhost:3030/pipes | jq .\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n100 10805 100 10805 0 0 1966k 0 --:--:-- --:--:-- --:--:-- 2110k\n{\n \"data\": [\n {\n \"config\": {\n \"description\": \"Summarize meeting transcript with key takeaways and action items\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🤝\u0000\",\n \"name\": \"meeting-summary\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Meeting Summary\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Meeting Summary\\ndescription: \\\"Summarize meeting transcript with key takeaways and action items\\\"\\nicon: \\\"🤝\u0000\\\"\\nfeatured: false\\n---\\n\\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Meeting Summary\\nOne sentence: what this meeting was about.\\n\\n## Key Takeaways\\n- Top 3-5 important points discussed\\n- Include who said what when relevant\\n\\n## Action Items\\n- [ ] Task — assigned to whom, deadline if mentioned\\n- [ ] Task — assigned to whom\\n\\n## Decisions Made\\n- List any decisions or agreements reached\\n\\n## Open Questions\\n- Anything unresolved or needing follow-up\\n\\nKeep it concise and actionable.\\n\"\n },\n {\n \"config\": {\n \"description\": \"Where your time went — by app, project, and category\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"⏱\",\n \"name\": \"time-breakdown\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Time Breakdown\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Time Breakdown\\ndescription: \\\"Where your time went — by app, project, and category\\\"\\nicon: \\\"⏱\\\"\\nfeatured: false\\n---\\n\\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format with durations and percentages:\\n\\n## By Application\\n- List each app with duration and percentage, sorted by time (e.g. \\\"VS Code: 2h 15min (28%)\\\")\\n\\n## By Category\\n- Group into: coding, meetings, browsing, writing, communication, other\\n- Show hours and percentage per category\\n\\n## By Project\\n- Group related activities by project/topic. Name specific repos or tasks.\\n\\n## Productivity Score\\n- Calculate: focused_work_hours / total_hours as a percentage\\n- Focused = coding + writing. Unfocused = browsing + switching.\\n\\nEnd with: \\\"**Suggestion:** [one specific change to improve tomorrow's productivity]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Today's accomplishments, key moments, and unfinished work\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"📋\u0000\",\n \"name\": \"day-recap\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Day Recap\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Analyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Day Recap\\ndescription: \\\"Today's accomplishments, key moments, and unfinished work\\\"\\nicon: \\\"📋\u0000\\\"\\nfeatured: true\\n---\\n\\nAnalyze my screen and audio recordings from today (last 16 hours only). \\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Summary\\nOne sentence: what I mainly did today.\\n\\n## Accomplishments\\n- Top 3 things I finished, with timestamps (e.g. \\\"2:30 PM\\\")\\n- Name specific apps, files, or projects\\n\\n## Key Moments\\n- Important things I saw, said, or heard — with timestamps\\n\\n## Unfinished Work\\n- What I should continue tomorrow — name the app/file/task\\n\\n## Patterns\\n- Apps I used most, topics that came up repeatedly\\n\\nOnly report what you can verify from the data. End with: \\\"**Next step:** [most important thing to continue]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"How you use AI tools — patterns and insights\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🤖\u0000\",\n \"name\": \"ai-habits\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"AI Habits\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: AI Habits\\ndescription: \\\"How you use AI tools — patterns and insights\\\"\\nicon: \\\"🤖\u0000\\\"\\nfeatured: true\\n---\\n\\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## AI Tools Used\\n- List each tool with approximate time spent (e.g. \\\"Claude: ~45min\\\")\\n\\n## What I Used Them For\\n- For each tool: coding, writing, research, or brainstorming\\n\\n## Usage Patterns\\n- Do I switch between tools? Use them in bursts or steadily?\\n\\n## Effectiveness\\n- Which tool appeared alongside completed work vs. abandoned attempts\\n\\nIf no AI usage is found, say so clearly. End with: \\\"**Tip:** [one suggestion to use AI tools more effectively]\\\"\\n\"\n },\n {\n \"config\": {\n \"description\": \"Create a video of your recent screen activity\",\n \"enabled\": true,\n \"featured\": false,\n \"icon\": \"🎬\u0000\",\n \"name\": \"video-export\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Export Video Clip\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Export a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Export Video Clip\\ndescription: \\\"Create a video of your recent screen activity\\\"\\nicon: \\\"🎬\u0000\\\"\\nfeatured: false\\n---\\n\\nExport a video of my screen activity from the last 5 minutes.\\n\\nRead screenpipe skill first.\\n\\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\\n\\nIf the export is large, suggest a lower fps or shorter time range.\\n\"\n },\n {\n \"config\": {\n \"description\": \"What you did, what's next, and any blockers\",\n \"enabled\": true,\n \"featured\": true,\n \"icon\": \"🏢\u0000\",\n \"name\": \"standup-update\",\n \"schedule\": \"manual\",\n \"template\": true,\n \"title\": \"Standup Update\"\n },\n \"consecutive_failures\": 0,\n \"current_execution_id\": null,\n \"is_running\": false,\n \"last_error\": null,\n \"last_run\": null,\n \"last_success\": null,\n \"prompt_body\": \"Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\",\n \"raw_content\": \"---\\nschedule: manual\\nenabled: true\\ntemplate: true\\ntitle: Standup Update\\ndescription: \\\"What you did, what's next, and any blockers\\\"\\nicon: \\\"🏢\u0000\\\"\\nfeatured: true\\n---\\n\\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\\n\\nRead screenpipe skill first.\\n\\nUse this exact format:\\n\\n## Yesterday\\n- What I worked on (name specific projects, files, tools, PRs)\\n\\n## Today\\n- What I will work on next (based on unfinished tasks and recent activity)\\n\\n## Blockers\\n- Issues I hit — errors, slow builds, waiting on someone\\n- If no blockers, write \\\"None\\\"\\n\\nKeep it under 150 words. Copy-paste ready for a team standup.\\n\"\n }\n ],\n \"total\": 6\n}\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-2710504821594427847
|
-8435208392465220115
|
click
|
accessibility
|
NULL
|
whisper_model_load: n_audio_head = 6
whisper_mode whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (tiny)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: n_langs = 99
whisper_model_load: Metal total size = 77.11 MB
whisper_model_load: model size = 77.11 MB
2026-04-09T19:54:07.242116Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
2026-04-09T19:54:07.250010Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)
2026-04-09T19:54:07.250055Z INFO screenpipe_audio::audio_manager::manager: central audio-receiver handler restarted for capability refresh
2026-04-09T19:54:07.250066Z INFO screenpipe_audio::audio_manager::manager: central transcription-receiver handler restarted for capability refresh
2026-04-09T19:54:41.976071Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1231441521457939656, trigger=visual_change)
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXButton|Close Tab
AXRadioButton|DOCKER
AXRadioButton|DEV (-zsh)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ clear
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ curl [URL_WITH_CREDENTIALS] ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
NULL
|
|
51507
|
1114
|
0
|
2026-04-20T06:09:05.467643+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-20/1776 /Users/lukas/.screenpipe/data/data/2026-04-20/1776665345467_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_init_state: kv pad size = 2.36 MB
whi whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back
2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)
2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)
zsh: terminated npx screenpipe@latest record --ignored-windows "Boosteroid"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start
detected hardware tier: Mid
warning: parakeet is not supported on this platform, using whisper-tiny instead
2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store
checking permissions...
screen recording: ok
accessibility: ok
2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true
2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on [IP_ADDRESS]:3030 (localhost only)
2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key
2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ ["Boosteroid"] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
│ api auth │ enabled │
2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
│ encrypt secrets │ disabled │
│ retention days │ 14 │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ id: 1 │
│ │ id: 2 │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture
2026-04-20T09:09:04.482387Z ...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back\n2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)\n2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)\nzsh: terminated npx screenpipe@latest record --ignored-windows \"Boosteroid\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start\ndetected hardware tier: Mid\nwarning: parakeet is not supported on this platform, using whisper-tiny instead\n2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true\n2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on 127.0.0.1:3030 (localhost only)\n2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key\n2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [\"Boosteroid\"] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n│ api auth │ enabled │\n2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n│ encrypt secrets │ disabled │\n│ retention days │ 14 │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ id: 1 │\n│ │ id: 2 │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture\n2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0\n2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)\n2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC\n2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on 127.0.0.1:3030\n2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)\n2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)\n2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)\n2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)\n2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 3 excluded)","depth":4,"value":"whisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back\n2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)\n2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)\nzsh: terminated npx screenpipe@latest record --ignored-windows \"Boosteroid\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start\ndetected hardware tier: Mid\nwarning: parakeet is not supported on this platform, using whisper-tiny instead\n2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true\n2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on 127.0.0.1:3030 (localhost only)\n2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key\n2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [\"Boosteroid\"] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n│ api auth │ enabled │\n2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n│ encrypt secrets │ disabled │\n│ retention days │ 14 │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ id: 1 │\n│ │ id: 2 │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture\n2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0\n2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)\n2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC\n2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on 127.0.0.1:3030\n2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)\n2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)\n2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)\n2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)\n2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 3 excluded)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Review screenpipe usage and Boosteroid integration (claude)","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47083333,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
|
-3927112706975950609
|
-815639959474211360
|
manual
|
accessibility
|
NULL
|
whisper_init_state: kv pad size = 2.36 MB
whi whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back
2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)
2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)
zsh: terminated npx screenpipe@latest record --ignored-windows "Boosteroid"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start
detected hardware tier: Mid
warning: parakeet is not supported on this platform, using whisper-tiny instead
2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store
checking permissions...
screen recording: ok
accessibility: ok
2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true
2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on [IP_ADDRESS]:3030 (localhost only)
2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key
2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ ["Boosteroid"] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
│ api auth │ enabled │
2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
│ encrypt secrets │ disabled │
│ retention days │ 14 │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ id: 1 │
│ │ id: 2 │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture
2026-04-20T09:09:04.482387Z ...
|
NULL
|
|
212
|
6
|
16
|
2026-04-09T17:18:53.699928+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775755133699_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_init_state: kv cross size = 9.44 MB
whi whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture
2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5
2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)
2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC
2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list
2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)
2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)
2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms
2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)
2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: "/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin"
2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)
2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...
whisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'
whisper_init_with_params_no_state: use gpu = 1
whisper_init_with_params_no_state: flash attn = 0
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw = 0
ggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name: Apple M1
ggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)
ggml_metal_device_init: simdgroup reduction = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory = true
ggml_metal_device_init: has bfloat = true
ggml_metal_device_init: has tensor = false
ggml_metal_device_init: use residency sets = true
ggml_metal_device_init: use shared buffers = true
ggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB
whisper_init_with_params_no_state: devices = 3
whisper_init_with_params_no_state: backends = 3
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events","depth":4,"value":"whisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (claude)","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
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2043498520285732943
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-851668756493175328
|
visual_change
|
accessibility
|
NULL
|
whisper_init_state: kv cross size = 9.44 MB
whi whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture
2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5
2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)
2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC
2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list
2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)
2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)
2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms
2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)
2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: "/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin"
2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)
2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...
whisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'
whisper_init_with_params_no_state: use gpu = 1
whisper_init_with_params_no_state: flash attn = 0
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw = 0
ggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name: Apple M1
ggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)
ggml_metal_device_init: simdgroup reduction = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory = true
ggml_metal_device_init: has bfloat = true
ggml_metal_device_init: has tensor = false
ggml_metal_device_init: use residency sets = true
ggml_metal_device_init: use shared buffers = true
ggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB
whisper_init_with_params_no_state: devices = 3
whisper_init_with_params_no_state: backends = 3
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper...
|
NULL
|
|
176
|
5
|
23
|
2026-04-09T17:14:29.029793+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775754869029_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_init_state: compute buffer (encode) = 65 whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library","depth":4,"value":"whisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (node)","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
|
-2931038488646859087
|
8407166930568279521
|
manual
|
accessibility
|
NULL
|
whisper_init_state: compute buffer (encode) = 65 whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026...
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NULL
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51508
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2026-04-20T06:09:05.730112+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-20/1776 /Users/lukas/.screenpipe/data/data/2026-04-20/1776665345730_m2.jpg...
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whisper_init_state: compute buffer (encode) = 65 whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back
2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)
2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)
zsh: terminated npx screenpipe@latest record --ignored-windows "Boosteroid"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start
detected hardware tier: Mid
warning: parakeet is not supported on this platform, using whisper-tiny instead
2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store
checking permissions...
screen recording: ok
accessibility: ok
2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true
2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on [IP_ADDRESS]:3030 (localhost only)
2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key
2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ ["Boosteroid"] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
│ api auth │ enabled │
2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
│ encrypt secrets │ disabled │
│ retention days │ 14 │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ id: 1 │
│ │ id: 2 │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture
2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-20T09:09:04.509116Z INFO screen...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back\n2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)\n2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)\nzsh: terminated npx screenpipe@latest record --ignored-windows \"Boosteroid\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start\ndetected hardware tier: Mid\nwarning: parakeet is not supported on this platform, using whisper-tiny instead\n2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true\n2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on 127.0.0.1:3030 (localhost only)\n2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key\n2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [\"Boosteroid\"] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n│ api auth │ enabled │\n2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n│ encrypt secrets │ disabled │\n│ retention days │ 14 │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ id: 1 │\n│ │ id: 2 │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture\n2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0\n2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)\n2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC\n2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on 127.0.0.1:3030\n2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)\n2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)\n2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)\n2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)\n2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 3 excluded)\n2026-04-20T09:09:07.600290Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=51507, dur=136ms\n2026-04-20T09:09:07.683736Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 3 excluded)","depth":4,"value":"whisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back\n2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)\n2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)\nzsh: terminated npx screenpipe@latest record --ignored-windows \"Boosteroid\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start\ndetected hardware tier: Mid\nwarning: parakeet is not supported on this platform, using whisper-tiny instead\n2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true\n2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on 127.0.0.1:3030 (localhost only)\n2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key\n2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [\"Boosteroid\"] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n│ api auth │ enabled │\n2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n│ encrypt secrets │ disabled │\n│ retention days │ 14 │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ id: 1 │\n│ │ id: 2 │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture\n2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0\n2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)\n2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC\n2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on 127.0.0.1:3030\n2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)\n2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)\n2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)\n2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)\n2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 3 excluded)\n2026-04-20T09:09:07.600290Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=51507, dur=136ms\n2026-04-20T09:09:07.683736Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 3 excluded)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.33759972,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33959442,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40492022,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4069149,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4722407,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4742354,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.53956115,"top":1.0,"width":0.06715426,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5415558,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Review screenpipe usage and Boosteroid integration (claude)","depth":2,"bounds":{"left":0.60671544,"top":1.0,"width":0.06715426,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6087101,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.67386967,"top":1.0,"width":0.06715426,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67586434,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4956782,"top":1.0,"width":0.027925532,"height":-0.02394259},"role_description":"text"}]...
|
4662626514787893793
|
-815639959474211360
|
manual
|
accessibility
|
NULL
|
whisper_init_state: compute buffer (encode) = 65 whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back
2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)
2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)
zsh: terminated npx screenpipe@latest record --ignored-windows "Boosteroid"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start
detected hardware tier: Mid
warning: parakeet is not supported on this platform, using whisper-tiny instead
2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store
checking permissions...
screen recording: ok
accessibility: ok
2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true
2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on [IP_ADDRESS]:3030 (localhost only)
2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key
2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ ["Boosteroid"] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
│ api auth │ enabled │
2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
│ encrypt secrets │ disabled │
│ retention days │ 14 │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ id: 1 │
│ │ id: 2 │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture
2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-20T09:09:04.509116Z INFO screen...
|
NULL
|
|
214
|
6
|
18
|
2026-04-09T17:18:58.388635+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775755138388_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_init_state: compute buffer (decode) = 96 whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture
2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5
2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)
2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC
2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list
2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)
2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)
2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms
2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)
2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: "/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin"
2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)
2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...
whisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'
whisper_init_with_params_no_state: use gpu = 1
whisper_init_with_params_no_state: flash attn = 0
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw = 0
ggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name: Apple M1
ggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)
ggml_metal_device_init: simdgroup reduction = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory = true
ggml_metal_device_init: has bfloat = true
ggml_metal_device_init: has tensor = false
ggml_metal_device_init: use residency sets = true
ggml_metal_device_init: use shared buffers = true
ggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB
whisper_init_with_params_no_state: devices = 3
whisper_init_with_params_no_state: backends = 3
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (ti...
|
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deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:18:58.125886Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=2732202531443799157, trigger=clipboard)","depth":4,"value":"whisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:18:58.125886Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=2732202531443799157, trigger=clipboard)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (claude)","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
|
1327992389949770846
|
-851668756493175328
|
clipboard
|
accessibility
|
NULL
|
whisper_init_state: compute buffer (decode) = 96 whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture
2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5
2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)
2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC
2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list
2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)
2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)
2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms
2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)
2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: "/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin"
2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)
2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...
whisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'
whisper_init_with_params_no_state: use gpu = 1
whisper_init_with_params_no_state: flash attn = 0
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw = 0
ggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name: Apple M1
ggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)
ggml_metal_device_init: simdgroup reduction = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory = true
ggml_metal_device_init: has bfloat = true
ggml_metal_device_init: has tensor = false
ggml_metal_device_init: use residency sets = true
ggml_metal_device_init: use shared buffers = true
ggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB
whisper_init_with_params_no_state: devices = 3
whisper_init_with_params_no_state: backends = 3
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 1 (ti...
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NULL
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185
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5
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32
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2026-04-09T17:14:54.138041+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775754894138_m1.jpg...
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iTerm2
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screenpipe"
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_init_state: compute buffer (decode) = 96 whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\n2026-04-09T20:14:38.385637Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=176, dur=31ms\nggml_metal_library_init: loaded in 15.792 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:14:54.059372Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:14:54.062532Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:14:54.062898Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:14:54.062937Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events","depth":4,"value":"whisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\n2026-04-09T20:14:38.385637Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=176, dur=31ms\nggml_metal_library_init: loaded in 15.792 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:14:54.059372Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:14:54.062532Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:14:54.062898Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:14:54.062937Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (node)","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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whisper_init_state: compute buffer (decode) = 96 whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output...
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2026-04-09T17:18:56.708091+00:00
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whisper_init_state: compute buffer (cross) = 8 whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture
2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5
2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)
2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC
2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list
2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)
2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)
2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms
2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)
2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: "/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin"
2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)
2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...
whisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'
whisper_init_with_params_no_state: use gpu = 1
whisper_init_with_params_no_state: flash attn = 0
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw = 0
ggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name: Apple M1
ggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)
ggml_metal_device_init: simdgroup reduction = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory = true
ggml_metal_device_init: has bfloat = true
ggml_metal_device_init: has tensor = false
ggml_metal_device_init: use residency sets = true
ggml_metal_device_init: use shared buffers = true
ggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB
whisper_init_with_params_no_state: devices = 3
whisper_init_with_params_no_state: backends = 3
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qn...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)","depth":4,"value":"whisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (claude)","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
|
2732202531443799157
|
-851668756493175328
|
visual_change
|
accessibility
|
NULL
|
whisper_init_state: compute buffer (cross) = 8 whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture
2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5
2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)
2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC
2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list
2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)
2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)
2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms
2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention
2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)
2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: "/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin"
2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)
2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...
whisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'
whisper_init_with_params_no_state: use gpu = 1
whisper_init_with_params_no_state: flash attn = 0
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw = 0
ggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name: Apple M1
ggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)
ggml_metal_device_init: simdgroup reduction = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory = true
ggml_metal_device_init: has bfloat = true
ggml_metal_device_init: has tensor = false
ggml_metal_device_init: use residency sets = true
ggml_metal_device_init: use shared buffers = true
ggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB
whisper_init_with_params_no_state: devices = 3
whisper_init_with_params_no_state: backends = 3
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qn...
|
212
|
|
177
|
5
|
24
|
2026-04-09T17:14:40.368110+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775754880368_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_init_state: compute buffer (cross) = 8 whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\n2026-04-09T20:14:38.385637Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=176, dur=31ms","depth":4,"value":"whisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\n2026-04-09T20:14:38.385637Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=176, dur=31ms","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (node)","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
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-5087223927363086600
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8407166930568279521
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click
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accessibility
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NULL
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whisper_init_state: compute buffer (cross) = 8 whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run...
|
176
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187
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5
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34
|
2026-04-09T17:15:09.036508+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775754909036_m1.jpg...
|
iTerm2
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screenpipe"
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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whisper_backend_init_gpu: using Metal backend
ggml whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:18.727423Z INFO sc...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\n2026-04-09T20:14:38.385637Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=176, dur=31ms\nggml_metal_library_init: loaded in 15.792 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:14:54.059372Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:14:54.062532Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:14:54.062898Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:14:54.062937Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:14:55.597138Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:14:55.597260Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:14:55.974621Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:14:55.974675Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)","depth":4,"value":"whisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n^C2026-04-09T20:13:21.583344Z INFO screenpipe: received ctrl+c, initiating shutdown\n2026-04-09T20:13:21.583454Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-04-09T20:13:21.583495Z INFO screenpipe_audio::device::device_manager: Stopping device: System Audio (output)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ 2026-04-09T20:13:21.664605Z INFO screenpipe_audio::audio_manager::manager: audio manager stopped\n2026-04-09T20:13:21.664696Z INFO screenpipe: stopping UI event capture\n2026-04-09T20:13:21.664730Z INFO screenpipe: received shutdown signal for VisionManager\n2026-04-09T20:13:21.664746Z INFO screenpipe_engine::vision_manager::manager: Shutting down VisionManager\n2026-04-09T20:13:21.664751Z INFO screenpipe_engine::vision_manager::manager: Stopping VisionManager\n2026-04-09T20:13:21.664756Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-09T20:13:21.664776Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker shutting down\n2026-04-09T20:13:21.664808Z INFO screenpipe_engine::meeting_detector: meeting v2: shutdown received, exiting detection loop\n2026-04-09T20:13:21.724168Z INFO screenpipe_engine::ui_recorder: UI recording session ended: 3b59b1d1-d80e-4689-8c72-6476af4571df\n2026-04-09T20:13:21.724263Z INFO screenpipe: shutdown complete\nggml_metal_free: deallocating\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:14:27.098522Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:14:27.912703Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:14:27.914483Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:14:27.914498Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:14:27.914906Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:14:28.126293Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:14:28.126285Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:14:28.126333Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:14:28.126772Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:14:28.127021Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:14:28.127561Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:14:28.127719Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:14:28.127878Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:14:28.128872Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:14:28.128896Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n2026-04-09T20:14:28.130298Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:14:28.130784Z INFO screenpipe: starting UI event capture\n2026-04-09T20:14:28.133972Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:14:28.135954Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:14:28.145308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:14:28.159511Z INFO screenpipe_engine::ui_recorder: UI recording session started: 80e2e759-7433-4879-97f3-223fcd952b7a\n2026-04-09T20:14:28.159557Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:14:28.159589Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:14:28.159589 UTC to 2026-04-09 17:14:28.159589 UTC)\n2026-04-09T20:14:28.160424Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:14:28.171304Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:14:28.185141Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:14:28.214853Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 175 frame entries, coverage from 2026-04-08 17:14:28.159589 UTC\n2026-04-09T20:14:28.527279Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:14:28.527311Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:14:28.527322Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:14:28.527330Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:14:28.527387Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:14:29.374206Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:14:33.163940Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:14:33.164688Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:14:38.134070Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:14:38.134185Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:14:38.134200Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\n2026-04-09T20:14:38.385637Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=176, dur=31ms\nggml_metal_library_init: loaded in 15.792 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:14:54.059372Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:14:54.062532Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:14:54.062898Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:14:54.062937Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:14:55.597138Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:14:55.597260Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:14:55.974621Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:14:55.974675Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (node)","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
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8407166930417284585
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visual_change
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accessibility
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NULL
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whisper_backend_init_gpu: using Metal backend
ggml whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests
2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:13:18.727423Z INFO sc...
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2026-04-09T17:19:56.504702+00:00
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whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ ...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:18:58.125886Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=2732202531443799157, trigger=clipboard)\n2026-04-09T20:19:20.963903Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6279845026343263330, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:19:53.063534Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:19:53.063553Z INFO screenpipe: starting UI event capture\n2026-04-09T20:19:53.074282Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:19:53.079729Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:19:53.084110Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:19:53.100563Z INFO screenpipe_engine::ui_recorder: UI recording session started: f26a4920-75f9-4a03-a6eb-151ca5c07685\n2026-04-09T20:19:53.100584Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:19:53.100646Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:19:53.100644 UTC to 2026-04-09 17:19:53.100644 UTC)\n2026-04-09T20:19:53.102360Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:19:53.110846Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:19:53.112584Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 224 frame entries, coverage from 2026-04-08 17:19:53.100644 UTC\n2026-04-09T20:19:53.120158Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:19:53.468211Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:19:53.468238Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:19:53.468248Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:19:53.468256Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:19:53.468299Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:19:54.270276Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:19:54.417323Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=225, dur=69ms","depth":4,"value":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:18:58.125886Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=2732202531443799157, trigger=clipboard)\n2026-04-09T20:19:20.963903Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6279845026343263330, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:19:53.063534Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:19:53.063553Z INFO screenpipe: starting UI event capture\n2026-04-09T20:19:53.074282Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:19:53.079729Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:19:53.084110Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:19:53.100563Z INFO screenpipe_engine::ui_recorder: UI recording session started: f26a4920-75f9-4a03-a6eb-151ca5c07685\n2026-04-09T20:19:53.100584Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:19:53.100646Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:19:53.100644 UTC to 2026-04-09 17:19:53.100644 UTC)\n2026-04-09T20:19:53.102360Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:19:53.110846Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:19:53.112584Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 224 frame entries, coverage from 2026-04-08 17:19:53.100644 UTC\n2026-04-09T20:19:53.120158Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:19:53.468211Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:19:53.468238Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:19:53.468248Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:19:53.468256Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:19:53.468299Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:19:54.270276Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:19:54.417323Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=225, dur=69ms","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (claude)","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
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-3622306764002654213
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-851668765083109920
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visual_change
|
accessibility
|
NULL
|
whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ ...
|
225
|
|
51711
|
1119
|
56
|
2026-04-20T06:19:04.732656+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-20/1776 /Users/lukas/.screenpipe/data/data/2026-04-20/1776665944732_m2.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back
2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)
2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)
zsh: terminated npx screenpipe@latest record --ignored-windows "Boosteroid"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start
detected hardware tier: Mid
warning: parakeet is not supported on this platform, using whisper-tiny instead
2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store
checking permissions...
screen recording: ok
accessibility: ok
2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true
2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on [IP_ADDRESS]:3030 (localhost only)
2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key
2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ ["Boosteroid"] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
│ api auth │ enabled │
2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
│ encrypt secrets │ disabled │
│ retention days │ 14 │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ id: 1 │
│ │ id: 2 │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture
2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0
2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)
2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC
2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)
2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)
2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)
2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)
2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persiste...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back\n2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)\n2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)\nzsh: terminated npx screenpipe@latest record --ignored-windows \"Boosteroid\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start\ndetected hardware tier: Mid\nwarning: parakeet is not supported on this platform, using whisper-tiny instead\n2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true\n2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on 127.0.0.1:3030 (localhost only)\n2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key\n2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [\"Boosteroid\"] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n│ api auth │ enabled │\n2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n│ encrypt secrets │ disabled │\n│ retention days │ 14 │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ id: 1 │\n│ │ id: 2 │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture\n2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0\n2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)\n2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC\n2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on 127.0.0.1:3030\n2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)\n2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)\n2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)\n2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)\n2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 3 excluded)\n2026-04-20T09:09:07.600290Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=51507, dur=136ms\n2026-04-20T09:09:07.683736Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 3 excluded)\n2026-04-20T09:09:07.989000Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 2: frame_id=51508, dur=185ms\n2026-04-20T09:10:09.231456Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=197 elapsed=4.915444333s\n2026-04-20T09:10:09.231772Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 197 eligible frames\n2026-04-20T09:10:14.691743Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 83 frames, 16.3MB → 2.5MB (6.5x), 83 JPEGs deleted\n2026-04-20T09:10:15.677833Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:10:17.628368Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:10:17.716440Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:10:21.386286Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 100 frames, 17.9MB → 6.8MB (2.6x), 100 JPEGs deleted\n2026-04-20T09:10:22.685406Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 14 frames, 2.2MB → 0.9MB (2.4x), 14 JPEGs deleted\n2026-04-20T09:10:23.507120Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:42.391615Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:42.475795Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:44.750359Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:44.980679Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:53.686192Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:53.738064Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:56.291827Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:56.451083Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:12:46.023481Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=1367434359766307217, trigger=visual_change)\n2026-04-20T09:12:49.049656Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=1367434359766307217, trigger=visual_change)\n2026-04-20T09:13:23.025287Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=596503974090759224, trigger=click)\n2026-04-20T09:13:28.322087Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3622643354436184557, trigger=visual_change)\n2026-04-20T09:14:35.739274Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-3577748614007823836, trigger=click)\n2026-04-20T09:15:24.523245Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=3 elapsed=1.840652833s\n2026-04-20T09:15:24.523440Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 3 eligible frames\n2026-04-20T09:15:37.319126Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-7719336893453902381, trigger=click)\n2026-04-20T09:16:25.021906Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2226463793404778776, trigger=visual_change)\n2026-04-20T09:16:40.481038Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-2449473341097903678, trigger=visual_change)\n2026-04-20T09:17:01.897197Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-3192006669261292210, trigger=visual_change)\n2026-04-20T09:17:11.727852Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:11.880765Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:12.886271Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:12.961362Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:49.590890Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5042772765556709364, trigger=visual_change)\n2026-04-20T09:18:38.516980Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3873630181551472921, trigger=click)\n2026-04-20T09:18:52.171689Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3192006669261292210, trigger=click)\n2026-04-20T09:18:52.339913Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-3192006669261292210, trigger=visual_change)","depth":4,"value":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)\n2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back\n2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)\n2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)\nzsh: terminated npx screenpipe@latest record --ignored-windows \"Boosteroid\"\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start\ndetected hardware tier: Mid\nwarning: parakeet is not supported on this platform, using whisper-tiny instead\n2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true\n2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on 127.0.0.1:3030 (localhost only)\n2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key\n2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [\"Boosteroid\"] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n│ api auth │ enabled │\n2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n│ encrypt secrets │ disabled │\n│ retention days │ 14 │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ id: 1 │\n│ │ id: 2 │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture\n2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0\n2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)\n2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC\n2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on 127.0.0.1:3030\n2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)\n2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)\n2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)\n2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)\n2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 3 excluded)\n2026-04-20T09:09:07.600290Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=51507, dur=136ms\n2026-04-20T09:09:07.683736Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 3 excluded)\n2026-04-20T09:09:07.989000Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 2: frame_id=51508, dur=185ms\n2026-04-20T09:10:09.231456Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=197 elapsed=4.915444333s\n2026-04-20T09:10:09.231772Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 197 eligible frames\n2026-04-20T09:10:14.691743Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 83 frames, 16.3MB → 2.5MB (6.5x), 83 JPEGs deleted\n2026-04-20T09:10:15.677833Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:10:17.628368Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:10:17.716440Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:10:21.386286Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 100 frames, 17.9MB → 6.8MB (2.6x), 100 JPEGs deleted\n2026-04-20T09:10:22.685406Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 14 frames, 2.2MB → 0.9MB (2.4x), 14 JPEGs deleted\n2026-04-20T09:10:23.507120Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:42.391615Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:42.475795Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:44.750359Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:44.980679Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:53.686192Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:53.738064Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:56.291827Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:11:56.451083Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6544687314381512705, trigger=click)\n2026-04-20T09:12:46.023481Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=1367434359766307217, trigger=visual_change)\n2026-04-20T09:12:49.049656Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=1367434359766307217, trigger=visual_change)\n2026-04-20T09:13:23.025287Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=596503974090759224, trigger=click)\n2026-04-20T09:13:28.322087Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3622643354436184557, trigger=visual_change)\n2026-04-20T09:14:35.739274Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-3577748614007823836, trigger=click)\n2026-04-20T09:15:24.523245Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=3 elapsed=1.840652833s\n2026-04-20T09:15:24.523440Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 3 eligible frames\n2026-04-20T09:15:37.319126Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-7719336893453902381, trigger=click)\n2026-04-20T09:16:25.021906Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2226463793404778776, trigger=visual_change)\n2026-04-20T09:16:40.481038Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-2449473341097903678, trigger=visual_change)\n2026-04-20T09:17:01.897197Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-3192006669261292210, trigger=visual_change)\n2026-04-20T09:17:11.727852Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:11.880765Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:12.886271Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:12.961362Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4839184715325635051, trigger=click)\n2026-04-20T09:17:49.590890Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5042772765556709364, trigger=visual_change)\n2026-04-20T09:18:38.516980Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3873630181551472921, trigger=click)\n2026-04-20T09:18:52.171689Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3192006669261292210, trigger=click)\n2026-04-20T09:18:52.339913Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-3192006669261292210, trigger=visual_change)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.33759972,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33959442,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40492022,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4069149,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4722407,"top":1.0,"width":0.06732048,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4742354,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.53956115,"top":1.0,"width":0.06715426,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5415558,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Review screenpipe usage and Boosteroid integration (claude)","depth":2,"bounds":{"left":0.60671544,"top":1.0,"width":0.06715426,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6087101,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.67386967,"top":1.0,"width":0.06715426,"height":-0.042298436},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67586434,"top":1.0,"width":0.005319149,"height":-0.04549086},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4956782,"top":1.0,"width":0.027925532,"height":-0.02394259},"role_description":"text"}]...
|
-4530521884112940222
|
-815639959474211360
|
app_switch
|
accessibility
|
NULL
|
whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:43:07.918412Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:44:35.514401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:44:35.891413Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8593116969702213352, trigger=visual_change)
2026-04-18T14:45:06.077184Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-18T14:45:09.423485Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-18T14:45:40.853509Z WARN screenpipe_db::db: ImmediateTx dropped without commit — rolling back
2026-04-18T14:45:45.829292Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6130095137839516019, trigger=click)
2026-04-18T14:45:45.931557Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=6130095137839516019, trigger=click)
zsh: terminated npx screenpipe@latest record --ignored-windows "Boosteroid"
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ sp-start
detected hardware tier: Mid
warning: parakeet is not supported on this platform, using whisper-tiny instead
2026-04-20T09:09:02.916408Z INFO screenpipe_engine::auth_key: api auth: key resolved via secret store
checking permissions...
screen recording: ok
accessibility: ok
2026-04-20T09:09:03.042870Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-20T09:09:04.217747Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-20T09:09:04.219685Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-20T09:09:04.220577Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-20T09:09:04.314160Z INFO screenpipe_engine::permission_monitor: permission monitor started screen=true mic=true accessibility=true keychain=true
2026-04-20T09:09:04.314251Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-20T09:09:04.314473Z INFO screenpipe: API server listening on [IP_ADDRESS]:3030 (localhost only)
2026-04-20T09:09:04.314486Z INFO screenpipe: API auth enabled — run `screenpipe auth token` to view your key
2026-04-20T09:09:04.314428Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-20T09:09:04.314439Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-20T09:09:04.314563Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-20T09:09:04.370709Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))
2026-04-20T09:09:04.383079Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-20T09:09:04.384136Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-20T09:09:04.384745Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-20T09:09:04.385360Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-20T09:09:04.385876Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-20T09:09:04.386843Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-20T09:09:04.386950Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ true │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ ["Boosteroid"] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
│ api auth │ enabled │
2026-04-20T09:09:04.390629Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)
2026-04-20T09:09:04.411414Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh
│ encrypt secrets │ disabled │
│ retention days │ 14 │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ id: 1 │
│ │ id: 2 │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ disabled │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: https://github.com/screenpipe/screenpipe/releases
2026-04-20T09:09:04.444803Z INFO screenpipe: starting UI event capture
2026-04-20T09:09:04.482387Z INFO screenpipe_engine::ui_recorder: Starting UI event capture
2026-04-20T09:09:04.509116Z INFO screenpipe_engine::ui_recorder: UI recording session started: f0f4e024-5bd3-4a71-bf92-6feec89df1b0
2026-04-20T09:09:04.509231Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)
2026-04-20T09:09:04.509296Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-19 06:09:04.509295 UTC to 2026-04-20 06:09:04.509295 UTC)
2026-04-20T09:09:04.510396Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)
2026-04-20T09:09:04.511440Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 0 frame entries, coverage from 2026-04-19 06:09:04.509295 UTC
2026-04-20T09:09:04.519984Z INFO screenpipe_engine::server: Server listening on [IP_ADDRESS]:3030
2026-04-20T09:09:04.547289Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030
2026-04-20T09:09:04.965425Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)
2026-04-20T09:09:04.965463Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)
2026-04-20T09:09:04.965503Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)
2026-04-20T09:09:05.226982Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 2 (3008x1253)
2026-04-20T09:09:05.227016Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)
2026-04-20T09:09:05.227136Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstop poll)
2026-04-20T09:09:05.227375Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 2 (device: monitor_2)
2026-04-20T09:09:07.300820Z INFO sck_rs::stream_manager: persiste...
|
NULL
|
|
175
|
5
|
22
|
2026-04-09T17:13:20.796845+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775754800796_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:09:30.413642Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcri...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:09:30.413642Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)","depth":4,"value":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:09:30.413642Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect\n2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:50.679547Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:50.679705Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:51.681540Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:51.681638Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:52.682700Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:52.682893Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:53.683432Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:53.683587Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:54.685305Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:54.685380Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:55.687119Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:55.687360Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:56.688435Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:56.688513Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:57.690272Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:57.690340Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:58.692254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:58.692310Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:12:59.693320Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:12:59.693493Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:00.694348Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:00.694433Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:01.696392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:01.696444Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:02.698281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:02.698458Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:03.700030Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:03.700146Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:04.702226Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:04.702294Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:05.704281Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:05.704359Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:06.705808Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:06.705920Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:07.707231Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:07.707298Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:08.182408Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-09T20:13:08.708393Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:08.708510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:09.710915Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:09.710974Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:10.712639Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:10.712711Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:11.714135Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:11.714182Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:12.716251Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:12.716313Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:13.717538Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:13.717682Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:14.719220Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:14.719306Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:15.721206Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:15.721607Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:16.723013Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:16.723167Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:17.725383Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:17.725436Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:18.727254Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:18.727423Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:19.728646Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:19.728814Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)\n2026-04-09T20:13:20.730198Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:13:20.730251Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (node)","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
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accessibility
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whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:09:30.413642Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:11:31.943416Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-04-09T20:12:23.632839Z WARN screenpipe_audio::core::run_record_and_transcribe: no audio received from System Audio (output) for 30s - stream dead, triggering reconnect
2026-04-09T20:12:24.634524Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:24.634717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:25.636167Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:25.636241Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:26.637475Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:26.637632Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:27.639481Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:27.639674Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:28.641392Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:28.641468Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:29.643401Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:29.643465Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:30.645555Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:30.645736Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:31.646650Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:31.646804Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:32.648705Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:32.648787Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:33.649937Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:33.650126Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:34.652420Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:34.652503Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:35.654363Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:35.654429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:36.655671Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:36.655835Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:37.657385Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:37.657510Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:38.659335Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:38.659397Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:39.660525Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:39.660601Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:40.662552Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:40.662717Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:41.664366Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:41.664429Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:42.666360Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:42.666464Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:43.668128Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:43.668333Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:44.670229Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:44.670277Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:45.671405Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:45.671453Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:46.672748Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:46.672859Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:47.673601Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:47.673766Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:48.676092Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:48.676148Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for System Audio (output) (disconnected)
2026-04-09T20:12:49.677349Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)
2026-04-09T20:12:49.677498Z INFO screenpipe_audio::core::run_record_and_transcri...
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225
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2026-04-09T17:19:53.969683+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-09/1775 /Users/lukas/.screenpipe/data/data/2026-04-09/1775755193969_m1.jpg...
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whisper_backend_init_gpu: device 0: Metal (type: 1 whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:18:58.125886Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=2732202531443799157, trigger=clipboard)\n2026-04-09T20:19:20.963903Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6279845026343263330, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:19:53.063534Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:19:53.063553Z INFO screenpipe: starting UI event capture\n2026-04-09T20:19:53.074282Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:19:53.079729Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:19:53.084110Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:19:53.100563Z INFO screenpipe_engine::ui_recorder: UI recording session started: f26a4920-75f9-4a03-a6eb-151ca5c07685\n2026-04-09T20:19:53.100584Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:19:53.100646Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:19:53.100644 UTC to 2026-04-09 17:19:53.100644 UTC)\n2026-04-09T20:19:53.102360Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:19:53.110846Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:19:53.112584Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 224 frame entries, coverage from 2026-04-08 17:19:53.100644 UTC\n2026-04-09T20:19:53.120158Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:19:53.468211Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:19:53.468238Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:19:53.468248Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:19:53.468256Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:19:53.468299Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:19:54.270276Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)","depth":4,"value":"whisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n microphone: ok\n accessibility: ok\n2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ false │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ soundcore AeroClip (input) │\n│ │ System Audio (output) │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:18:42.906668Z INFO screenpipe: starting UI event capture\n2026-04-09T20:18:42.904980Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:18:42.908468Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:18:42.911739Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:18:42.921315Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:18:42.935181Z INFO screenpipe_engine::ui_recorder: UI recording session started: 9f2b6757-0e2b-45c7-bfae-9666e6db34c5\n2026-04-09T20:18:42.935268Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:18:42.935303Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:18:42.935300 UTC to 2026-04-09 17:18:42.935300 UTC)\n2026-04-09T20:18:42.935997Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:18:42.941704Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:18:42.946772Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:18:42.989922Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 209 frame entries, coverage from 2026-04-08 17:18:42.935300 UTC\n2026-04-09T20:18:43.291350Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:18:43.291384Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:18:43.291397Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:18:43.291406Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:18:43.291520Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:18:44.032530Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-09T20:18:47.449731Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=210, dur=67ms\n2026-04-09T20:18:47.939991Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-09T20:18:47.940309Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-09T20:18:52.910326Z INFO screenpipe_audio::transcription::engine: whisper model available: \"/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin\"\n2026-04-09T20:18:52.910382Z INFO screenpipe_audio::transcription::whisper::model: whisper context: gpu acceleration enabled (Metal on macOS, Vulkan on Windows)\n2026-04-09T20:18:52.910389Z INFO screenpipe_audio::transcription::engine: loading whisper model with GPU acceleration...\nwhisper_init_from_file_with_params_no_state: loading model from '/Users/lukas/.cache/huggingface/hub/models--ggerganov--whisper.cpp/snapshots/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-tiny.bin'\nwhisper_init_with_params_no_state: use gpu = 1\nwhisper_init_with_params_no_state: flash attn = 0\nwhisper_init_with_params_no_state: gpu_device = 0\nwhisper_init_with_params_no_state: dtw = 0\nggml_metal_device_init: tensor API disabled for pre-M5 and pre-A19 devices\nggml_metal_library_init: using embedded metal library\nggml_metal_library_init: loaded in 0.013 sec\nggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)\nggml_metal_device_init: GPU name: Apple M1\nggml_metal_device_init: GPU family: MTLGPUFamilyApple7 (1007)\nggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)\nggml_metal_device_init: GPU family: MTLGPUFamilyMetal3 (5001)\nggml_metal_device_init: simdgroup reduction = true\nggml_metal_device_init: simdgroup matrix mul. = true\nggml_metal_device_init: has unified memory = true\nggml_metal_device_init: has bfloat = true\nggml_metal_device_init: has tensor = false\nggml_metal_device_init: use residency sets = true\nggml_metal_device_init: use shared buffers = true\nggml_metal_device_init: recommendedMaxWorkingSetSize = 11453.25 MB\nwhisper_init_with_params_no_state: devices = 3\nwhisper_init_with_params_no_state: backends = 3\nwhisper_model_load: loading model\nwhisper_model_load: n_vocab = 51865\nwhisper_model_load: n_audio_ctx = 1500\nwhisper_model_load: n_audio_state = 384\nwhisper_model_load: n_audio_head = 6\nwhisper_model_load: n_audio_layer = 4\nwhisper_model_load: n_text_ctx = 448\nwhisper_model_load: n_text_state = 384\nwhisper_model_load: n_text_head = 6\nwhisper_model_load: n_text_layer = 4\nwhisper_model_load: n_mels = 80\nwhisper_model_load: ftype = 1\nwhisper_model_load: qntvr = 0\nwhisper_model_load: type = 1 (tiny)\nwhisper_model_load: adding 1608 extra tokens\nwhisper_model_load: n_langs = 99\nwhisper_model_load: Metal total size = 77.11 MB\nwhisper_model_load: model size = 77.11 MB\n2026-04-09T20:18:53.001173Z INFO screenpipe_audio::transcription::engine: whisper model loaded successfully\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\n2026-04-09T20:18:53.005400Z INFO screenpipe_audio::audio_manager::manager: transcription session created (will be reused across segments)\n2026-04-09T20:18:53.005773Z INFO screenpipe_audio::audio_manager::manager: audio manager started\n2026-04-09T20:18:53.005828Z INFO screenpipe_audio::audio_manager::manager: calendar-assisted speaker diarization: listening for meeting events\n2026-04-09T20:18:54.300159Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-04-09T20:18:54.300247Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (30s segments)\n2026-04-09T20:18:54.947320Z INFO screenpipe_audio::device::device_manager: starting recording for device: System Audio (output)\n2026-04-09T20:18:54.947365Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for System Audio (output) (30s segments)\n2026-04-09T20:18:58.125886Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=2732202531443799157, trigger=clipboard)\n2026-04-09T20:19:20.963903Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6279845026343263330, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-09T20:19:53.063534Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-09T20:19:53.063553Z INFO screenpipe: starting UI event capture\n2026-04-09T20:19:53.074282Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-09T20:19:53.079729Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-09T20:19:53.084110Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-09T20:19:53.100563Z INFO screenpipe_engine::ui_recorder: UI recording session started: f26a4920-75f9-4a03-a6eb-151ca5c07685\n2026-04-09T20:19:53.100584Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-09T20:19:53.100646Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-08 17:19:53.100644 UTC to 2026-04-09 17:19:53.100644 UTC)\n2026-04-09T20:19:53.102360Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-09T20:19:53.110846Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-09T20:19:53.112584Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 224 frame entries, coverage from 2026-04-08 17:19:53.100644 UTC\n2026-04-09T20:19:53.120158Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-09T20:19:53.468211Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-09T20:19:53.468238Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-09T20:19:53.468248Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_3008x1253_-813,-1253) — not in allowed list\n2026-04-09T20:19:53.468256Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-09T20:19:53.468299Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-09T20:19:54.270276Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Check today's app usage (claude)","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"role_description":"text"}]...
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manual
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accessibility
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NULL
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whisper_backend_init_gpu: device 0: Metal (type: 1 whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-04-09T20:16:55.543375Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record
detected hardware tier: Mid
checking permissions...
screen recording: ok
microphone: ok
accessibility: ok
2026-04-09T20:18:41.912236Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:18:42.686011Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:18:42.687457Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:18:42.687473Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:18:42.687899Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:18:42.900414Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:18:42.900475Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:18:42.900422Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:18:42.900897Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:18:42.901174Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:18:42.901736Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:18:42.901893Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:18:42.902076Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:18:42.903039Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:18:42.903068Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ \ / __ \/ / __ \/ _ \
(__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/
/____/\___/_/ \___/\___/_/ /_/ / .___/_/ .___/\___/
/_/ /_/
power AI by everything you've seen, said or heard
open source | runs locally | developer friendly
┌────────────────────────┬────────────────────────────────────┐
│ setting │ value │
├────────────────────────┼────────────────────────────────────┤
│ audio chunk duration │ 30 seconds │
│ port │ 3030 │
│ audio disabled │ false │
│ vision disabled │ false │
│ pause on DRM content │ false │
│ audio engine │ Parakeet │
│ vad engine │ Silero │
│ data directory │ /Users/lukas/.screenpipe │
│ debug mode │ false │
│ telemetry │ true │
│ use pii removal │ true │
│ use all monitors │ true │
│ ignored windows │ [] │
│ included windows │ [] │
│ cloud sync │ disabled │
│ auto-destruct pid │ 0 │
│ deepgram key │ not set │
├────────────────────────┼────────────────────────────────────┤
│ languages │ │
│ │ all languages │
├────────────────────────┼────────────────────────────────────┤
│ monitors │ │
│ │ no monitors available │
├────────────────────────┼────────────────────────────────────┤
│ audio devices │ │
│ │ soundcore AeroClip (input) │
│ │ System Audio (output) │
└────────────────────────┴────────────────────────────────────┘
you are using local processing. all your data stays on your computer.
warning: telemetry is enabled. only error-level data will be sent.
to disable, use the --disable-telemetry flag.
check latest changes here: [URL_WITH_CREDENTIALS] record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ npx screenpipe@latest record --disable-audio
detected hardware tier: Mid
checking permissions...
screen recording: ok
accessibility: ok
2026-04-09T20:19:52.412195Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6
2026-04-09T20:19:53.055756Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor
2026-04-09T20:19:53.058756Z INFO screenpipe: meeting detector enabled — independent of transcription mode
2026-04-09T20:19:53.059017Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)
2026-04-09T20:19:53.059054Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)
2026-04-09T20:19:53.058846Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)
2026-04-09T20:19:53.059166Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager
2026-04-09T20:19:53.059575Z INFO screenpipe_core::pipes: loaded pipe: day-recap
2026-04-09T20:19:53.059559Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)
2026-04-09T20:19:53.059832Z INFO screenpipe_core::pipes: loaded pipe: standup-update
2026-04-09T20:19:53.060406Z INFO screenpipe_core::pipes: loaded pipe: ai-habits
2026-04-09T20:19:53.060587Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown
2026-04-09T20:19:53.060779Z INFO screenpipe_core::pipes: loaded pipe: video-export
2026-04-09T20:19:53.061707Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary
2026-04-09T20:19:53.061733Z INFO screenpipe_core::pipes: loaded 6 pipes from "/Users/lukas/.screenpipe/pipes"
_
__________________ ___ ____ ____ (_____ ___
/ ___/ ___/ ___/ _ \/ _ \/ __ ...
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vs
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"vs","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"vs","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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1383174753845333067
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1383174753845333067
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+ClaudeFileEditViewWindowHelpSearch Jiminny Inc vs
+ClaudeFileEditViewWindowHelpSearch Jiminny Inc# releasesDMsJiminny ...+# general# infra-changes# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...• Messages@ FilesVSDirect messagesStoyan TanevVesGalya DimitrovaAneliya Angelova, ...Vasil Vasilev XSteliyan GeorgievAdelina Petrova, Ili...P. Adelina PetrovaP. Nikolay Nikolov ®2 Galya Dimitrova, Ni...#:: Apps+Jira CloudToast8 22• Bookmarks•j Support Daily - in 31 mActivity MonitorAll ProcessesProcess NameBoosteroid+Visual Studio Code.app/Applications/Visual Studio Code.appfaVsco.js-/jiminny/app/front-end/node_modules/@fortawesome/free-brands-svg-icons/faVsco.jsvendor~/jiminny/app/vendortest_field_values_extractor.py~/jiminny/prophet/tests/component/crm_auto_populate/test_field_values_extractor.pyfield_values_request.py-/jiminny/prophet/src/component/crm_auto_populate/schemes/field_values_request.pycontacts_field_values_request.py~/jiminny/prophet/src/component/crm_auto_populate/schemes/contacts_field_values_request.pyfield_values_extractor_service.py~/jiminny/prophet/src/component/crm_auto_populate/field_values_extractor_service.pyv4-non-en-/jiminny/prophet/eval_output/identify_participants/eval_datasets/v4-non-env4-en-/jiminny/prophet/eval_output/identify_participants/eval_datasets/v4-enProject: appWhen:04/15/202611:18:51Tag:View JobFirefoxCP Isolated Web ContentClaude Helper (Renderer)iTerm2FirefoxCP Isolated Web ContentFirefoxCP Isolated Web ContentClaudeMessage #releasesMEMORY PRESSURE...Mem...2,14 GB*0 GBMBMBMBMBMB282MBMB883MBMB84MB285MBMBMB₴6MBMB$7MB888MBMBMBMB300,6 MB256,0 MB255,4 MB240,7 MB198,0 MB193,8 MBPhysical Memory:Memory Used:Cached Files:Swap Used:100% (C47Wed 15 Apr 14:29:03CPUMemoryDiskThreads3823257384251126292525162426272623152413212815262760EnergyPorts60919 2621237301 20512419 451168253242126121199122124125126120172120723271252081 789122126722PID83696407429748014146644203084283701146738019367133548041863352763583143652430164817326548368985091011483583360519487856138482986049116,00 GB13,99 GB <1,98 GB3,07 GBApp Memory:Wired Memory:Compressed:NetworkUserlukas_windowserverlukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukaslukas4,54 GB2,91 GB5,98 GB...
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2026-04-25T14:28:26.131219+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-25/1777 /Users/lukas/.screenpipe/data/data/2026-04-25/1777127306131_m1.jpg...
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"vb","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"vb","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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ClaudeFileEditViewWindowHelpsqlite3APP (-zsh)(2 vb
ClaudeFileEditViewWindowHelpsqlite3APP (-zsh)(25O $4100% CSat 25 Apr 17:28:26181DOCKER• 881DEV (-zsh)₴2-rw-r--r--1lukasstaff6548625Apr17:26Apr1777127171385_m2.jpglukasstaff1857492517:261777127176106_m1.jpg-rw-r--r---rw-r--r---rw-r--r---rw-r--r-lukasstaff15499925Apr17:26lukasstaff10361725Apr1777127176816_m1.jpg17•261777127177001 ml inalukasstaff35484125Apr11lukasstaff14828425Apr17lukasstaff19624825vboApr17-rw-r--r--lukasstaff10313625Apr-W-r--r-=1lukasstaff26534425Apr1-rw-r-lukasstaff22072025Apr-rw-r--r--lukasstaff17views-/jiminny/app/storage/framework/views24970625Apr17-rw-r--r--lukasstaff10319025Apr17lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny[2026-04-2517:27:44][2026-04-2517:27:44]Screenpipe sync startirvendor~/jiminny/app/vendor[2026-04-2517:27:44]*3screenpipe"[+00m00s]PreflightchecksSource DB:OK[2026-04-25 17:27:44](7.9G)ERROR: NAS not mounted.ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/..[2026-04-2517:28:17][2026-04-2517:28:17]Screenpipe sync startir[2026-04-25 17:28:17][+00m00s]• Preflight checksSource DB:NAS mount:Archive DB:Data dir:OK(7.9G)OK/Volumes/exists(6.0G)OK(250 file:[+00m01s] • Counting source rowsfor 2026-04-24frames:elements:ui_events:ocr_text:meetings:51832970716116150820030400001ieW4VIAU.png~/jiminny/app/storage/app/6473c918-d8db-4ded-a52b-4febfd7b/c02/avatars/0030400001ieW4VIAU.png282StaleRecord ValidatorTest.php-/jiminny/app/tests/Unit/Services/Crm/CrmObjects/Validators/StaleRecordValidatorTest.phpValidators-/jiminny/app/tests/Unit/Services/Crm/CrmObjects/ValidatorsuseRecentlyVisited.js-/jiminny/app/front-end/src/components/layout/Sidebar/QuickSearch/useRecentlyVisited.jsStaleRecordValidator.php~/jiminny/app/app/Services/Crm/CrmObjects/Validators/StaleRecordValidator.phpValidators~/jiminny/app/app/Services/Crm/CrmObjects/Validatorsvuex.esm-bundler-DqfufJ2-.js~/jiminny/app/public/vue-assets/assets/vuex.esm-bundler-DqfufJ2-.js[+00m01s] • Initialisingtables, indexes, FTScreating tablescreating indexescreating FTS tables• Om00s• 0m01s• OmOOs[+00mO2s] • Syncing data for 2026-04-24video_chunks283₴84*5₴6$87888sqlite3...
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vaya' --skipProviders='telus' --skipPr vaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:29:00' --to='2026-04-23 10:45:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:45:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:45:21 Running ['artisan' nudges:send --silent] 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 39.44ms DONE
docker_lamp_1 | 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:45:22 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity ....... 515.04ms DONE
docker_lamp_1 | 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity ....... 486.96ms DONE
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity ....... 469.19ms DONE
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:45:24 Jiminny\Jobs\Activity\SyncActivity ....... 449.28ms DONE
docker_lamp_1 | 2026-04-23 10:45:24 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:24 Jiminny\Jobs\Activity\SyncActivity ....... 239.44ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:46:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:09 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:41:13 (delay: 0s)
docker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)
docker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)
docker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)
docker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...
docker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...
docker_lamp_1 | Dispatched 4 HubSpot sync jobs
docker_lamp_1 | ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects ...... 527.76ms DONE
docker_lamp_1 | 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 59.96ms DONE
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:12 Running ['artisan' activity:status-count] 2026-04-23 10:46:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:12 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 15.63ms DONE
docker_lamp_1 | 2026-04-23 10:46:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:13 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 16.08ms DONE
docker_lamp_1 | {"canceled":18}...... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:13 Running ['artisan' mailbox:sync] Queueing 1 inbox(es) for sync.
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:46:15 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:15 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] 82.26ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:47:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:07 Running ['artisan' mailbox:batch:create] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:47:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:47:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] 78.35ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:48:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 0.94ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams:
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:49:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:50:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:09 Running ['artisan' activity:purge-stale] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:10 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:11 Running ['artisan' conference:pre-meeting-notification] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:12 Running ['artisan' conference:monitor:start] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:13 Running ['artisan' conference:monitor:end] ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:15 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' conference:pre-meeting-reminder] in background 1.26ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' hubspot:journal-poll --start] in background 0.93ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:19 Running ['artisan' crm:reset-governor] 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:51:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:08 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:46:11 (delay: 0s)
docker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)
docker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)
docker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)
docker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...
docker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...
docker_lamp_1 | Dispatched 4 HubSpot sync jobs
docker_lamp_1 | ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:51:09 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ...... 591.43ms DONE
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 29.04ms DONE
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 17.26ms DONE
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 14.87ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:52:05 Running ['artisan' meeting-bot:schedule-bot] ... 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:07 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:08 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:13 Running ['artisan' mailbox:skip-lists:refresh] . 3s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:16 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:23 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:25 Running ['artisan' mailbox:batch:create] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:26 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00'] 2026-04-23 10:52:29 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:52:29 Jiminny\Jobs\Mailbox\CreateBatches ....... 233.16ms DONE
docker_lamp_1 | 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:53:08 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:14 Running ['artisan' dialers:monitor-activities] . 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:20 Running ['artisan' jiminny:monitor-social-accounts] 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:25 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:27 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:30 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.61ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:54:03 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:05 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:07 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:09 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:10 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:12 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:14 Running ['artisan' activity:aircall:check-and-renew] 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:aircall:check-and-renew > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:17 Running ['artisan' track:retry-failed-downloads] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' track:retry-failed-downloads > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:55:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:07 Running ['artisan' activity:purge-stale] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:08 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:10 Running ['artisan' conference:pre-meeting-notification] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:11 Running ['artisan' conference:monitor:start] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:12 Running ['artisan' conference:monitor:end] ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:13 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' conference:pre-meeting-reminder] in background 0.87ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' hubspot:journal-poll --start] in background 0.72ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 🚀 Starting HubSpot journal polling service...
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:56:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:10 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:51:09 (delay: 0s)
docker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)
docker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)
docker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)
docker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...
docker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...
docker_lamp_1 | Dispatched 4 HubSpot sync jobs
docker_lamp_1 | ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:56:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:12 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 25.65ms DONE
docker_lamp_1 | 2026-04-23 10:56:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:12 Running ['artisan' activity:status-count] 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 14.74ms DONE
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 14.83ms DONE
docker_lamp_1 | {"canceled":20}...... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:13 Running ['artisan' mailbox:sync] Queueing 2 inbox(es) for sync.
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] 69.39ms DONE
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] 61.98ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:57:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:08 Running ['artisan' mailbox:batch:create] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:57:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:57:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] 54.57ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:58:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:07 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:09 Running ['artisan' conference:monitor:count] ... 3s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.91ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-23 10:58:21 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-23 10:58:22 Jiminny\Jobs\Calendar\SyncCalendarEvents . 712.80ms DONE
docker_lamp_1 | 2026-04-23 10:58:24 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-23 10:58:24 Jiminny\Jobs\Calendar\SyncCalendarEvents . 424.53ms DONE
docker_lamp_1 | 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:58:26 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-23 10:58:26 Jiminny\Jobs\Calendar\SyncCalendarEvents .. 72.63ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:59:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:04 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 11:00:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:04 Running ['artisan' dialers:monitor-activities] 2026-04-23 11:00:04 Jiminny\Events\Activities\StatusUpdated [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:05 Jiminny\Events\Activities\StatusUpdated .. 660.52ms DONE
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:08 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:09 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:10 Running ['artisan' activity:purge-stale] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:11 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:13 Running ['artisan' conference:pre-meeting-notification] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:14 Running ['artisan' conference:monitor:start] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:15 Running ['artisan' conference:monitor:end] ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:16 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' conference:pre-meeting-reminder] in background 1.33ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' hubspot:journal-poll --start] in background 1.15ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.
docker_lamp_1 | 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:21 Running ['artisan' crm:reset-governor] [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:22 Running ['artisan' datadog:report:processing-sla-activities] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:23 Running ['artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:24 Running ['artisan' mailbox:batch:fail-stalled] 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 40.58ms DONE
docker_lamp_1 | 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:fail-stalled > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:26 Running ['artisan' jiminny:transcription:retry-stuck] 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity ....... 472.48ms DONE
docker_lamp_1 | 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity ....... 441.59ms DONE
docker_lamp_1 | 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | No stuck transcriptions found.
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:27 Running ['artisan' automated-reports:send] 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity ....... 512.16ms DONE
docker_lamp_1 | 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:28 Jiminny\Jobs\Activity\SyncActivity ....... 482.61ms DONE
docker_lamp_1 | 2026-04-23 11:00:28 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:28 Running ['artisan' deal-insights:send-update] 2026-04-23 11:00:29 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | .. 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:29 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:31 Running ['artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:32 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:33 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:34 Running ['artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:35 Running ['artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:37 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-23 11:00:38 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:38 Jiminny\Jobs\Activity\SyncActivity ....... 248.26ms DONE
docker_lamp_1 | 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:38 Running ['artisan' nudges:send --silent] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:40 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 129.62ms DONE
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 9.72ms DONE
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 4.51ms DONE
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 4.35ms DONE
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 11:01:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:01:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:01:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-socia...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"vaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:29:00' --to='2026-04-23 10:45:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:45:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:45:21 Running ['artisan' nudges:send --silent] 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ........ 39.44ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:45:22 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ....... 515.04ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ....... 486.96ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ....... 469.19ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:45:24 Jiminny\\Jobs\\Activity\\SyncActivity ....... 449.28ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:24 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:24 Jiminny\\Jobs\\Activity\\SyncActivity ....... 239.44ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:46:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:09 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:41:13 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ...... 527.76ms DONE\ndocker_lamp_1 | 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 59.96ms DONE\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:12 Running ['artisan' activity:status-count] 2026-04-23 10:46:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 15.63ms DONE\ndocker_lamp_1 | 2026-04-23 10:46:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 16.08ms DONE\ndocker_lamp_1 | {\"canceled\":18}...... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:13 Running ['artisan' mailbox:sync] Queueing 1 inbox(es) for sync.\ndocker_lamp_1 | ............... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:46:15 Jiminny\\Jobs\\Mailbox\\SyncInbox ................. RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:15 Jiminny\\Jobs\\Mailbox\\SyncInbox ............ 82.26ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:47:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:07 Running ['artisan' mailbox:batch:create] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:47:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:47:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ........ 78.35ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:48:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 0.94ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams: \ndocker_lamp_1 | ........ 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:49:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:50:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:09 Running ['artisan' activity:purge-stale] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:10 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:11 Running ['artisan' conference:pre-meeting-notification] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:12 Running ['artisan' conference:monitor:start] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:13 Running ['artisan' conference:monitor:end] ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:15 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' conference:pre-meeting-reminder] in background 1.26ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' hubspot:journal-poll --start] in background 0.93ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:19 Running ['artisan' crm:reset-governor] 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | ......... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:51:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:08 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:46:11 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:51:09 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ...... 591.43ms DONE\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 29.04ms DONE\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 17.26ms DONE\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 14.87ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:52:05 Running ['artisan' meeting-bot:schedule-bot] ... 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:07 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:08 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:13 Running ['artisan' mailbox:skip-lists:refresh] . 3s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:16 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:23 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:25 Running ['artisan' mailbox:batch:create] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:26 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00'] 2026-04-23 10:52:29 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:52:29 Jiminny\\Jobs\\Mailbox\\CreateBatches ....... 233.16ms DONE\ndocker_lamp_1 | 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:53:08 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:14 Running ['artisan' dialers:monitor-activities] . 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:20 Running ['artisan' jiminny:monitor-social-accounts] 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:25 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:27 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:30 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.61ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:54:03 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:05 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:07 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:09 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:10 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:12 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:14 Running ['artisan' activity:aircall:check-and-renew] 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:aircall:check-and-renew > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:17 Running ['artisan' track:retry-failed-downloads] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' track:retry-failed-downloads > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:55:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:07 Running ['artisan' activity:purge-stale] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:08 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:10 Running ['artisan' conference:pre-meeting-notification] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:11 Running ['artisan' conference:monitor:start] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:12 Running ['artisan' conference:monitor:end] ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:13 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' conference:pre-meeting-reminder] in background 0.87ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' hubspot:journal-poll --start] in background 0.72ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:56:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:10 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:51:09 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:56:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 25.65ms DONE\ndocker_lamp_1 | 2026-04-23 10:56:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:12 Running ['artisan' activity:status-count] 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ 1s DONE\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 14.74ms DONE\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 14.83ms DONE\ndocker_lamp_1 | {\"canceled\":20}...... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:13 Running ['artisan' mailbox:sync] Queueing 2 inbox(es) for sync.\ndocker_lamp_1 | ............... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ................. RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ............ 69.39ms DONE\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ................. RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ............ 61.98ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:57:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:08 Running ['artisan' mailbox:batch:create] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:57:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:57:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ........ 54.57ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:58:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:07 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:09 Running ['artisan' conference:monitor:count] ... 3s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.91ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-23 10:58:21 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-23 10:58:22 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 712.80ms DONE\ndocker_lamp_1 | 2026-04-23 10:58:24 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-23 10:58:24 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 424.53ms DONE\ndocker_lamp_1 | 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:58:26 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-23 10:58:26 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents .. 72.63ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:59:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:04 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 11:00:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:04 Running ['artisan' dialers:monitor-activities] 2026-04-23 11:00:04 Jiminny\\Events\\Activities\\StatusUpdated ........ RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:05 Jiminny\\Events\\Activities\\StatusUpdated .. 660.52ms DONE\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:08 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:09 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:10 Running ['artisan' activity:purge-stale] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:11 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:13 Running ['artisan' conference:pre-meeting-notification] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:14 Running ['artisan' conference:monitor:start] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:15 Running ['artisan' conference:monitor:end] ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:16 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' conference:pre-meeting-reminder] in background 1.33ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' hubspot:journal-poll --start] in background 1.15ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.\ndocker_lamp_1 | 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:21 Running ['artisan' crm:reset-governor] ......... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:22 Running ['artisan' datadog:report:processing-sla-activities] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:23 Running ['artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:24 Running ['artisan' mailbox:batch:fail-stalled] 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ........ 40.58ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:fail-stalled > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:26 Running ['artisan' jiminny:transcription:retry-stuck] 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ....... 472.48ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ....... 441.59ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | No stuck transcriptions found.\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:27 Running ['artisan' automated-reports:send] 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ....... 512.16ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:28 Jiminny\\Jobs\\Activity\\SyncActivity ....... 482.61ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:28 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:28 Running ['artisan' deal-insights:send-update] 2026-04-23 11:00:29 Jiminny\\Jobs\\Activity\\SyncActivity ............. 1s DONE\ndocker_lamp_1 | .. 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:29 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:31 Running ['artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:32 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:33 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:34 Running ['artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:35 Running ['artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:37 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-23 11:00:38 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:38 Jiminny\\Jobs\\Activity\\SyncActivity ....... 248.26ms DONE\ndocker_lamp_1 | 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:38 Running ['artisan' nudges:send --silent] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:40 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 129.62ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 9.72ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 4.51ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 4.35ms DONE\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 11:01:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:08 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:56:13 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:10 Running ['artisan' activity:sync 'ringcentral' --from='2026-04-23 05:01:00' --to='2026-04-23 11:01:00'] 2026-04-23 11:01:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 43.70ms DONE\ndocker_lamp_1 | 2026-04-23 11:01:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ...... 897.69ms DONE\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 24.46ms DONE\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 19.41ms DONE\ndocker_lamp_1 | 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' --from='2026-04-23 05:01:00' --to='2026-04-23 11:01:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\n\n\nv View in Docker Desktop o View Config w Enable Watch","depth":4,"bounds":{"left":0.0,"top":0.112222224,"width":0.50069445,"height":0.8877778},"value":"vaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:29:00' --to='2026-04-23 10:45:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:45:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:45:21 Running ['artisan' nudges:send --silent] 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ........ 39.44ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:45:22 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ....... 515.04ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:22 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ....... 486.96ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ....... 469.19ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:23 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:45:24 Jiminny\\Jobs\\Activity\\SyncActivity ....... 449.28ms DONE\ndocker_lamp_1 | 2026-04-23 10:45:24 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:45:24 Jiminny\\Jobs\\Activity\\SyncActivity ....... 239.44ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:46:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:09 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:41:13 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ...... 527.76ms DONE\ndocker_lamp_1 | 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 59.96ms DONE\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:12 Running ['artisan' activity:status-count] 2026-04-23 10:46:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 15.63ms DONE\ndocker_lamp_1 | 2026-04-23 10:46:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 16.08ms DONE\ndocker_lamp_1 | {\"canceled\":18}...... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:46:13 Running ['artisan' mailbox:sync] Queueing 1 inbox(es) for sync.\ndocker_lamp_1 | ............... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:46:15 Jiminny\\Jobs\\Mailbox\\SyncInbox ................. RUNNING\ndocker_lamp_1 | 2026-04-23 10:46:15 Jiminny\\Jobs\\Mailbox\\SyncInbox ............ 82.26ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:47:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:47:07 Running ['artisan' mailbox:batch:create] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:47:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:47:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ........ 78.35ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:48:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 0.94ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams: \ndocker_lamp_1 | ........ 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:49:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:49:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:50:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:09 Running ['artisan' activity:purge-stale] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:10 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:11 Running ['artisan' conference:pre-meeting-notification] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:12 Running ['artisan' conference:monitor:start] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:13 Running ['artisan' conference:monitor:end] ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:15 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' conference:pre-meeting-reminder] in background 1.26ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' hubspot:journal-poll --start] in background 0.93ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:19 Running ['artisan' crm:reset-governor] 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | ......... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:50:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:51:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:51:08 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:46:11 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:51:09 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ...... 591.43ms DONE\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 29.04ms DONE\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 17.26ms DONE\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:51:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 14.87ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:52:05 Running ['artisan' meeting-bot:schedule-bot] ... 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:07 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:08 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:13 Running ['artisan' mailbox:skip-lists:refresh] . 3s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:16 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:23 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:25 Running ['artisan' mailbox:batch:create] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:52:26 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00'] 2026-04-23 10:52:29 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:52:29 Jiminny\\Jobs\\Mailbox\\CreateBatches ....... 233.16ms DONE\ndocker_lamp_1 | 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:53:08 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:14 Running ['artisan' dialers:monitor-activities] . 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:20 Running ['artisan' jiminny:monitor-social-accounts] 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:25 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:27 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:53:30 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.61ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:54:03 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:05 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:07 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:09 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:10 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:12 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:14 Running ['artisan' activity:aircall:check-and-renew] 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:aircall:check-and-renew > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:54:17 Running ['artisan' track:retry-failed-downloads] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' track:retry-failed-downloads > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:55:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:07 Running ['artisan' activity:purge-stale] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:08 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:10 Running ['artisan' conference:pre-meeting-notification] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:11 Running ['artisan' conference:monitor:start] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:12 Running ['artisan' conference:monitor:end] ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:13 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' conference:pre-meeting-reminder] in background 0.87ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' hubspot:journal-poll --start] in background 0.72ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:56:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:08 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:10 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:51:09 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:56:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 25.65ms DONE\ndocker_lamp_1 | 2026-04-23 10:56:12 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:12 Running ['artisan' activity:status-count] 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ 1s DONE\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 14.74ms DONE\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:13 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 14.83ms DONE\ndocker_lamp_1 | {\"canceled\":20}...... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:56:13 Running ['artisan' mailbox:sync] Queueing 2 inbox(es) for sync.\ndocker_lamp_1 | ............... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ................. RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ............ 69.39ms DONE\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ................. RUNNING\ndocker_lamp_1 | 2026-04-23 10:56:16 Jiminny\\Jobs\\Mailbox\\SyncInbox ............ 61.98ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:57:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:57:08 Running ['artisan' mailbox:batch:create] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:57:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-23 10:57:10 Jiminny\\Jobs\\Mailbox\\CreateBatches ........ 54.57ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:58:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:07 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:09 Running ['artisan' conference:monitor:count] ... 3s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.91ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-23 10:58:21 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-23 10:58:22 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 712.80ms DONE\ndocker_lamp_1 | 2026-04-23 10:58:24 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-23 10:58:24 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 424.53ms DONE\ndocker_lamp_1 | 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | 2026-04-23 10:58:26 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-23 10:58:26 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents .. 72.63ms DONE\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 10:59:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:04 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 10:59:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 11:00:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:04 Running ['artisan' dialers:monitor-activities] 2026-04-23 11:00:04 Jiminny\\Events\\Activities\\StatusUpdated ........ RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:05 Jiminny\\Events\\Activities\\StatusUpdated .. 660.52ms DONE\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:08 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:09 Running ['artisan' conference:monitor:count] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:10 Running ['artisan' activity:purge-stale] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:11 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:13 Running ['artisan' conference:pre-meeting-notification] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:14 Running ['artisan' conference:monitor:start] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:15 Running ['artisan' conference:monitor:end] ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:16 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' conference:pre-meeting-reminder] in background 1.33ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' hubspot:journal-poll --start] in background 1.15ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.\ndocker_lamp_1 | 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:21 Running ['artisan' crm:reset-governor] ......... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:22 Running ['artisan' datadog:report:processing-sla-activities] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:23 Running ['artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:24 Running ['artisan' mailbox:batch:fail-stalled] 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ........ 40.58ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:fail-stalled > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:26 Running ['artisan' jiminny:transcription:retry-stuck] 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ....... 472.48ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:26 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ....... 441.59ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | No stuck transcriptions found.\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:27 Running ['artisan' automated-reports:send] 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ....... 512.16ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:27 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:28 Jiminny\\Jobs\\Activity\\SyncActivity ....... 482.61ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:28 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | ..... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:28 Running ['artisan' deal-insights:send-update] 2026-04-23 11:00:29 Jiminny\\Jobs\\Activity\\SyncActivity ............. 1s DONE\ndocker_lamp_1 | .. 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:29 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:31 Running ['artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:32 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:33 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:34 Running ['artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:35 Running ['artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00'] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:37 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-23 11:00:38 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:38 Jiminny\\Jobs\\Activity\\SyncActivity ....... 248.26ms DONE\ndocker_lamp_1 | 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:38 Running ['artisan' nudges:send --silent] ....... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:00:40 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 129.62ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 9.72ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 4.51ms DONE\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-23 11:00:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 4.35ms DONE\ndocker_lamp_1 | 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-23 11:01:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:03 Running ['artisan' dialers:monitor-activities] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:08 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:56:13 (delay: 0s)\ndocker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)\ndocker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)\ndocker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)\ndocker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...\ndocker_lamp_1 | Dispatched 4 HubSpot sync jobs\ndocker_lamp_1 | ... 1s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-23 11:01:10 Running ['artisan' activity:sync 'ringcentral' --from='2026-04-23 05:01:00' --to='2026-04-23 11:01:00'] 2026-04-23 11:01:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 43.70ms DONE\ndocker_lamp_1 | 2026-04-23 11:01:10 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ...... 897.69ms DONE\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 24.46ms DONE\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ............ RUNNING\ndocker_lamp_1 | 2026-04-23 11:01:11 Jiminny\\Jobs\\Crm\\SyncHubspotObjects ....... 19.41ms DONE\ndocker_lamp_1 | 2s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' --from='2026-04-23 05:01:00' --to='2026-04-23 11:01:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\n\n\nv View in Docker Desktop o View Config w Enable Watch","is_focused":true},{"role":"AXButton","text":"Menu","depth":3,"bounds":{"left":0.4861111,"top":0.08944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥1 DOCKER (docker-compose)","depth":3,"bounds":{"left":0.01875,"top":0.09,"width":0.46388888,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu Apr 23 12:12:54 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu Apr 23 10:18:26 UTC 2026\n\n System load: 0.0 Processes: 151\n Usage of /: 58.2% of 7.57GB Users logged in: 5\n Memory usage: 40% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n37 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Wed Apr 22 12:09:09 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","depth":5,"value":"Last login: Thu Apr 23 12:12:54 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu Apr 23 10:18:26 UTC 2026\n\n System load: 0.0 Processes: 151\n Usage of /: 58.2% of 7.57GB Users logged in: 5\n Memory usage: 40% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n37 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Wed Apr 22 12:09:09 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.08944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥2 PROD (ssh)","depth":4,"bounds":{"left":0.52013886,"top":0.09,"width":0.46458334,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu Apr 23 12:12:54 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.26222223,"width":0.4986111,"height":0.14222223},"value":"Last login: Thu Apr 23 12:12:54 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.23944445,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥3 EU (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.24,"width":0.46458334,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu Apr 23 12:12:54 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.43222222,"width":0.4986111,"height":0.12222222},"value":"Last login: Thu Apr 23 12:12:54 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.40944445,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥4 STAGE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.41,"width":0.46458334,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu Apr 23 12:13:49 on ttys001\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.5822222,"width":0.4986111,"height":0.12222222},"value":"Last login: Thu Apr 23 12:13:49 on ttys001\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.5594444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥5 QA (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.56,"width":0.46458334,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu Apr 23 12:13:49 on ttys003\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.7322222,"width":0.4986111,"height":0.12222222},"value":"Last login: Thu Apr 23 12:13:49 on ttys003\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.70944446,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥6 FE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.71,"width":0.46458334,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu Apr 23 12:13:49 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.8622222,"width":0.4986111,"height":0.13777778},"value":"Last login: Thu Apr 23 12:13:49 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.85944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥7 EXT 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Tab","depth":3,"bounds":{"left":0.2013889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.39444444,"top":0.05888889,"width":0.19722222,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.3986111,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.59166664,"top":0.05888889,"width":0.19722222,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.59583336,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7888889,"top":0.05888889,"width":0.19722222,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.79305553,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"PROD (ssh)","depth":1,"bounds":{"left":0.47361112,"top":0.033333335,"width":0.05486111,"height":0.017777778},"role_description":"text"}]...
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vaya' --skipProviders='telus' --skipPr vaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:29:00' --to='2026-04-23 10:45:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:45:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:45:21 Running ['artisan' nudges:send --silent] 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 39.44ms DONE
docker_lamp_1 | 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:45:22 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity ....... 515.04ms DONE
docker_lamp_1 | 2026-04-23 10:45:22 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity ....... 486.96ms DONE
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity ....... 469.19ms DONE
docker_lamp_1 | 2026-04-23 10:45:23 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:45:24 Jiminny\Jobs\Activity\SyncActivity ....... 449.28ms DONE
docker_lamp_1 | 2026-04-23 10:45:24 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:45:24 Jiminny\Jobs\Activity\SyncActivity ....... 239.44ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:46:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:09 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:41:13 (delay: 0s)
docker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)
docker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)
docker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)
docker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...
docker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...
docker_lamp_1 | Dispatched 4 HubSpot sync jobs
docker_lamp_1 | ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects ...... 527.76ms DONE
docker_lamp_1 | 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:11 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 59.96ms DONE
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:12 Running ['artisan' activity:status-count] 2026-04-23 10:46:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:12 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 15.63ms DONE
docker_lamp_1 | 2026-04-23 10:46:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:13 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 16.08ms DONE
docker_lamp_1 | {"canceled":18}...... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:46:13 Running ['artisan' mailbox:sync] Queueing 1 inbox(es) for sync.
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:46:15 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:46:15 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] 82.26ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:47:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:47:07 Running ['artisan' mailbox:batch:create] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:47:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:47:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] 78.35ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:48:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 0.94ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:48:09 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams:
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:49:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:49:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:50:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:09 Running ['artisan' activity:purge-stale] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:10 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:11 Running ['artisan' conference:pre-meeting-notification] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:12 Running ['artisan' conference:monitor:start] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:13 Running ['artisan' conference:monitor:end] ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:15 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' conference:pre-meeting-reminder] in background 1.26ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' hubspot:journal-poll --start] in background 0.93ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:50:17 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:19 Running ['artisan' crm:reset-governor] 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:50:20 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:51:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:51:08 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:46:11 (delay: 0s)
docker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)
docker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)
docker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)
docker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...
docker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...
docker_lamp_1 | Dispatched 4 HubSpot sync jobs
docker_lamp_1 | ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:51:09 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ...... 591.43ms DONE
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 29.04ms DONE
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 17.26ms DONE
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:51:10 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 14.87ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:52:05 Running ['artisan' meeting-bot:schedule-bot] ... 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:07 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:08 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:13 Running ['artisan' mailbox:skip-lists:refresh] . 3s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:16 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:23 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:25 Running ['artisan' mailbox:batch:create] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:52:26 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00'] 2026-04-23 10:52:29 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:52:29 Jiminny\Jobs\Mailbox\CreateBatches ....... 233.16ms DONE
docker_lamp_1 | 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-23 10:36:00' --to='2026-04-23 10:52:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:53:08 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:14 Running ['artisan' dialers:monitor-activities] . 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:20 Running ['artisan' jiminny:monitor-social-accounts] 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:25 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:27 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:53:30 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.61ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:54:03 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:05 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:07 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:09 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:10 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:12 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:14 Running ['artisan' activity:aircall:check-and-renew] 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:aircall:check-and-renew > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:54:17 Running ['artisan' track:retry-failed-downloads] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' track:retry-failed-downloads > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:55:01 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:05 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:06 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:07 Running ['artisan' activity:purge-stale] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:08 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:10 Running ['artisan' conference:pre-meeting-notification] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:11 Running ['artisan' conference:monitor:start] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:12 Running ['artisan' conference:monitor:end] ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:13 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' conference:pre-meeting-reminder] in background 0.87ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' hubspot:journal-poll --start] in background 0.72ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:55:15 Running ['artisan' crm:bullhorn:ping --heartbeat] 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 🚀 Starting HubSpot journal polling service...
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:56:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:08 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:10 Running ['artisan' crm:sync-hubspot-objects] [HubSpot] Syncing objects for Hubspot (abae74b8-bfa8-4383-9a7f-89f4bf2bdbb4) since 2026-04-23 10:51:09 (delay: 0s)
docker_lamp_1 | Team TestV (2708d27a-7f31-4d90-bd2b-b5bde1c0211e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team KioskAccount (dedab245-604c-4cd2-a83e-4b9e034b2772) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for InsightSquared (b2b115eb-93ce-4d1b-929c-173757df8fba) since 2026-02-17 15:09:59 (delay: 0s)
docker_lamp_1 | Team Aircall Demo (7980e5eb-b11c-4cee-9c21-8bb29ba85f3b) is not yet assigned an owner. skipping...
docker_lamp_1 | [HubSpot] Syncing objects for GoStudent UAT (b2d49a54-b645-4637-a7ae-a86cfce6e8e4) since 2026-02-17 15:09:59 (delay: 1s)
docker_lamp_1 | [HubSpot] Syncing objects for JustCall (c6b9d6b0-b48d-4832-a68c-a57d60651888) since 2026-02-17 15:07:41 (delay: 1s)
docker_lamp_1 | Team Twilio Video (c334ca55-b230-411c-b10e-31c8204bd07b) is not yet assigned an owner. skipping...
docker_lamp_1 | Team My Test Account 3000 (dbc9990d-b35f-4e38-9550-22cdd6059514) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test (7997eb70-8aa4-491a-870d-311977568df4) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Test (5e06dcee-0613-470e-9a77-2c283198f3bf) is not yet assigned an owner. skipping...
docker_lamp_1 | Team test ogg auto sync (da44776e-306f-427a-83d8-a1b4baa5537e) is not yet assigned an owner. skipping...
docker_lamp_1 | Team Tourlaner (d9b71080-388b-4cf5-8175-aa0f29bee635) is not yet assigned an owner. skipping...
docker_lamp_1 | Dispatched 4 HubSpot sync jobs
docker_lamp_1 | ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-hubspot-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:11 Running ['artisan' activity:notify-not-logged] 2026-04-23 10:56:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:12 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 25.65ms DONE
docker_lamp_1 | 2026-04-23 10:56:12 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:notify-not-logged > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:12 Running ['artisan' activity:status-count] 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 14.74ms DONE
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:13 Jiminny\Jobs\Crm\SyncHubspotObjects ....... 14.83ms DONE
docker_lamp_1 | {"canceled":20}...... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:status-count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:56:13 Running ['artisan' mailbox:sync] Queueing 2 inbox(es) for sync.
docker_lamp_1 | [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] 69.39ms DONE
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:56:16 Jiminny\Jobs\Mailbox\SyncInbox [PASSWORD_DOTS] 61.98ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:57:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:57:08 Running ['artisan' mailbox:batch:create] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:57:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 10:57:10 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] 54.57ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:58:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:04 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:07 Running ['artisan' mailbox:batch:process --max-batches=15] 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:09 Running ['artisan' conference:monitor:count] ... 3s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 4.91ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 10:58:13 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-23 10:58:21 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-23 10:58:22 Jiminny\Jobs\Calendar\SyncCalendarEvents . 712.80ms DONE
docker_lamp_1 | 2026-04-23 10:58:24 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-23 10:58:24 Jiminny\Jobs\Calendar\SyncCalendarEvents . 424.53ms DONE
docker_lamp_1 | 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | 2026-04-23 10:58:26 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-23 10:58:26 Jiminny\Jobs\Calendar\SyncCalendarEvents .. 72.63ms DONE
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 10:59:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:04 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 10:59:07 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 11:00:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:04 Running ['artisan' dialers:monitor-activities] 2026-04-23 11:00:04 Jiminny\Events\Activities\StatusUpdated [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:05 Jiminny\Events\Activities\StatusUpdated .. 660.52ms DONE
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:06 Running ['artisan' mailbox:skip-lists:refresh] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:08 Running ['artisan' mailbox:batch:process --max-batches=15] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:09 Running ['artisan' conference:monitor:count] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:10 Running ['artisan' activity:purge-stale] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:11 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:13 Running ['artisan' conference:pre-meeting-notification] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:14 Running ['artisan' conference:monitor:start] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:15 Running ['artisan' conference:monitor:end] ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:16 Running ['artisan' jiminny:fix-hubspot-tokens] . 2s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' conference:pre-meeting-reminder] in background 1.33ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' hubspot:journal-poll --start] in background 1.15ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-23 11:00:19 Running ['artisan' jiminny:transcription:retry-failed] No failed transcriptions found.
docker_lamp_1 | 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-failed > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:21 Running ['artisan' crm:reset-governor] [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:reset-governor > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:22 Running ['artisan' datadog:report:processing-sla-activities] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:23 Running ['artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-23 10:44:00' --to='2026-04-23 11:00:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:24 Running ['artisan' mailbox:batch:fail-stalled] 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 40.58ms DONE
docker_lamp_1 | 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:fail-stalled > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:26 Running ['artisan' jiminny:transcription:retry-stuck] 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity ....... 472.48ms DONE
docker_lamp_1 | 2026-04-23 11:00:26 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity ....... 441.59ms DONE
docker_lamp_1 | 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | No stuck transcriptions found.
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:27 Running ['artisan' automated-reports:send] 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity ....... 512.16ms DONE
docker_lamp_1 | 2026-04-23 11:00:27 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:28 Jiminny\Jobs\Activity\SyncActivity ....... 482.61ms DONE
docker_lamp_1 | 2026-04-23 11:00:28 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | ..... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:28 Running ['artisan' deal-insights:send-update] 2026-04-23 11:00:29 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | .. 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:29 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:31 Running ['artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-23 05:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:32 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:33 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:34 Running ['artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-23 08:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:35 Running ['artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00'] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-23 10:00:00' --to='2026-04-23 11:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:37 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-23 11:00:38 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-23 11:00:38 Jiminny\Jobs\Activity\SyncActivity ....... 248.26ms DONE
docker_lamp_1 | 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:38 Running ['artisan' nudges:send --silent] ....... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:00:40 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 129.62ms DONE
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 9.72ms DONE
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 4.51ms DONE
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-23 11:00:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 4.35ms DONE
docker_lamp_1 | 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-23 11:01:02 Running ['artisan' meeting-bot:schedule-bot] ... 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:01:03 Running ['artisan' dialers:monitor-activities] . 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-23 11:01:05 Running ['artisan' jiminny:monitor-social-accounts] 1s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-socia...
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2026-04-14T07:56:09.012184+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-14/1776 /Users/lukas/.screenpipe/data/data/2026-04-14/1776153369012_m2.jpg...
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Dia
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Personal: Amazon Web Ser…
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True
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monitor_2
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/Users/lukas/.screenpipe/data/data/2026-04-17/1776 /Users/lukas/.screenpipe/data/data/2026-04-17/1776435166092_m1.jpg...
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PhpStorm
|
|
True
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NULL
|
monitor_1
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NULL
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NULL
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NULL
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NULL
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url
Inherited members (⌘R)
Anonymous Classes (⌘I)
url
Inherited members (⌘R)
Anonymous Classes (⌘I)
Lambdas (⌘L)
Group, class
photo_url: string
getPhotoUrl(): string, public method
getPhotoUrlAttribute(): string, public method
photo_url: string...
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"url","depth":1,"value":"url","role_description":"text field","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXCheckBox","text":"Inherited members (⌘R)","depth":1,"role_description":"checkbox","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXCheckBox","text":"Anonymous Classes (⌘I)","depth":1,"role_description":"checkbox","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXCheckBox","text":"Lambdas (⌘L)","depth":1,"role_description":"checkbox","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Group, class","depth":4,"role_description":"text"},{"role":"AXStaticText","text":"photo_url: string","depth":5,"role_description":"text"},{"role":"AXStaticText","text":"getPhotoUrl(): string, public method","depth":5,"role_description":"text"},{"role":"AXStaticText","text":"getPhotoUrlAttribute(): string, public method","depth":5,"role_description":"text"},{"role":"AXStaticText","text":"photo_url: string","depth":4,"role_description":"text"}]...
|
-7904308362057916130
|
2456150484592268453
|
click
|
accessibility
|
NULL
|
url
Inherited members (⌘R)
Anonymous Classes (⌘I)
url
Inherited members (⌘R)
Anonymous Classes (⌘I)
Lambdas (⌘L)
Group, class
photo_url: string
getPhotoUrl(): string, public method
getPhotoUrlAttribute(): string, public method
photo_url: string...
|
50000
|
|
54749
|
1183
|
10
|
2026-04-20T09:18:00.369292+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-20/1776 /Users/lukas/.screenpipe/data/data/2026-04-20/1776676680369_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_1
|
NULL
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NULL
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NULL
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NULL
|
upd
<?php
declare(strict_types=1);
namespace upd
<?php
declare(strict_types=1);
namespace Jiminny\Console\Commands;
use DB;
use Illuminate\Console\Command;
/**
* Class JiminnyDebugCommand
* @package Jiminny\Console\Commands
*/
class JiminnyDebugCommand extends Command
{
protected $signature = 'jiminny:debug';
public function handle(): void
{
$feature = "SIDEKICK_SETTINGS";
DB::table('team_features')->insert([
'team_id' => 1,
'feature' => $feature,
'created_at' => '2022-12-07 09:03:30',
'updated_at' => '2022-12-07 09:03:30',
]);
$this->line('this is a debug tool');
exit(1);
}
}...
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"upd","depth":1,"bounds":{"left":0.25972223,"top":0.16777778,"width":0.48055556,"height":0.033333335},"value":"upd","role_description":"text field","is_enabled":true,"is_focused":true},{"role":"AXStaticText","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Console\\Commands;\n\nuse DB;\nuse Illuminate\\Console\\Command;\n\n/**\n * Class JiminnyDebugCommand\n * @package Jiminny\\Console\\Commands\n */\nclass JiminnyDebugCommand extends Command\n{\n protected $signature = 'jiminny:debug';\n\n public function handle(): void\n {\n $feature = \"SIDEKICK_SETTINGS\";\n\n DB::table('team_features')->insert([\n 'team_id' => 1,\n 'feature' => $feature,\n 'created_at' => '2022-12-07 09:03:30',\n 'updated_at' => '2022-12-07 09:03:30',\n ]);\n\n $this->line('this is a debug tool');\n exit(1);\n }\n}","depth":1,"bounds":{"left":0.5034722,"top":0.21111111,"width":0.23958333,"height":0.37666667},"role_description":"text"}]...
|
4029800067561271979
|
-3337444205045466354
|
visual_change
|
accessibility
|
NULL
|
upd
<?php
declare(strict_types=1);
namespace upd
<?php
declare(strict_types=1);
namespace Jiminny\Console\Commands;
use DB;
use Illuminate\Console\Command;
/**
* Class JiminnyDebugCommand
* @package Jiminny\Console\Commands
*/
class JiminnyDebugCommand extends Command
{
protected $signature = 'jiminny:debug';
public function handle(): void
{
$feature = "SIDEKICK_SETTINGS";
DB::table('team_features')->insert([
'team_id' => 1,
'feature' => $feature,
'created_at' => '2022-12-07 09:03:30',
'updated_at' => '2022-12-07 09:03:30',
]);
$this->line('this is a debug tool');
exit(1);
}
}...
|
54747
|
|
4286
|
83
|
5
|
2026-04-13T12:11:25.380999+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-13/1776 /Users/lukas/.screenpipe/data/data/2026-04-13/1776082285380_m1.jpg...
|
iTerm2
|
-zsh
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:13.042296+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":607,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg","offset_index":7,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:11.727790+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg","id":607,"initial_traversal_at":null,"offset_index":7,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:11.727790+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":606,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg","offset_index":6,"tags":[],"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:10.057147+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg","id":606,"initial_traversal_at":null,"offset_index":6,"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:10.057147+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":605,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg","offset_index":5,"tags":[],"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:08.370141+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg","id":605,"initial_traversal_at":null,"offset_index":5,"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:08.370141+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":604,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg","offset_index":4,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:06.455174+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg","id":604,"initial_traversal_at":null,"offset_index":4,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:06.455174+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":603,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg","offset_index":3,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:05.447678+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg","id":603,"initial_traversal_at":null,"offset_index":3,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:05.447678+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":602,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg","offset_index":2,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:03.689217+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg","id":602,"initial_traversal_at":null,"offset_index":2,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:03.689217+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":601,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908741975_m1.jpg","offset_index":1,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:01-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.d...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"ukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:13.042296+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908753042_m1.jpg\",\"id\":608,\"initial_traversal_at\":null,\"offset_index\":8,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:12-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:13.042296+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":607,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg\",\"offset_index\":7,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:11.727790+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg\",\"id\":607,\"initial_traversal_at\":null,\"offset_index\":7,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:11.727790+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":606,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg\",\"offset_index\":6,\"tags\":[],\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:10.057147+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg\",\"id\":606,\"initial_traversal_at\":null,\"offset_index\":6,\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:10.057147+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":605,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg\",\"offset_index\":5,\"tags\":[],\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:08.370141+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg\",\"id\":605,\"initial_traversal_at\":null,\"offset_index\":5,\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:08.370141+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":604,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg\",\"offset_index\":4,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:06.455174+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg\",\"id\":604,\"initial_traversal_at\":null,\"offset_index\":4,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:06.455174+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":603,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg\",\"offset_index\":3,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:05.447678+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg\",\"id\":603,\"initial_traversal_at\":null,\"offset_index\":3,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:05.447678+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":602,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg\",\"offset_index\":2,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:03.689217+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg\",\"id\":602,\"initial_traversal_at\":null,\"offset_index\":2,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:03.689217+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":601,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908741975_m1.jpg\",\"offset_index\":1,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:01-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:01.975481+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908741975_m1.jpg\",\"id\":601,\"initial_traversal_at\":null,\"offset_index\":1,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:01-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:01.975481+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":600,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908739730_m1.jpg\",\"offset_index\":0,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:59-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:59.730303+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908739730_m1.jpg\",\"id\":600,\"initial_traversal_at\":null,\"offset_index\":0,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:59-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:59.730303+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"\",\"focused\":true,\"frame\":null,\"frame_id\":599,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908737773_m1.jpg\",\"offset_index\":0,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow HelpA100% C8Sat 11 Apr 14:58:57-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh₴86-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:57.773434+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908737773_m1.jpg\",\"id\":599,\"initial_traversal_at\":null,\"offset_index\":0,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow HelpA100% C8Sat 11 Apr 14:58:57-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh₴86-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:57.773434+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":598,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908736673_m1.jpg\",\"offset_index\":50,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:56-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:56.673970+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908736673_m1.jpg\",\"id\":598,\"initial_traversal_at\":null,\"offset_index\":50,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:56-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:56.673970+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":597,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908735694_m1.jpg\",\"offset_index\":49,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:55-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:55.694361+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908735694_m1.jpg\",\"id\":597,\"initial_traversal_at\":null,\"offset_index\":49,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:55-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:55.694361+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":596,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908734033_m1.jpg\",\"offset_index\":48,\"tags\":[],\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:53-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:54.033733+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908734033_m1.jpg\",\"id\":596,\"initial_traversal_at\":null,\"offset_index\":48,\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:53-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:54.033733+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":595,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908731550_m1.jpg\",\"offset_index\":47,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:51.550116+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908731550_m1.jpg\",\"id\":595,\"initial_traversal_at\":null,\"offset_index\":47,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:51.550116+03:00\",\"window_name\":\"\"},\"type\":\"UI\"}],\"pagination\":{\"limit\":50,\"offset\":0,\"total\":96}}% \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ sp-start\n[1] 52204\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-12T12:10:04.477685Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-12T12:10:05.150080Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-12T12:10:05.151563Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-12T12:10:05.151574Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-12T12:10:05.151788Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-12T12:10:05.151822Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-12T12:10:05.151963Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-12T12:10:05.152208Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-12T12:10:05.152264Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-12T12:10:05.152392Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-12T12:10:05.153052Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-12T12:10:05.153208Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-12T12:10:05.153372Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-12T12:10:05.154192Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-12T12:10:05.154214Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-12T12:10:05.156119Z INFO screenpipe: starting UI event capture\n2026-04-12T12:10:05.155724Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-12T12:10:05.159681Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-12T12:10:05.163034Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-12T12:10:05.170308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-12T12:10:05.183985Z INFO screenpipe_engine::ui_recorder: UI recording session started: 1982bc75-7b4c-48ab-80f8-a5f0f7b6a1e9\n2026-04-12T12:10:05.184088Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-11 09:10:05.184087 UTC to 2026-04-12 09:10:05.184087 UTC)\n2026-04-12T12:10:05.184054Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-12T12:10:05.186279Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-12T12:10:05.189984Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-12T12:10:05.194217Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-12T12:10:05.547235Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 1483 frame entries, coverage from 2026-04-11 09:10:05.184087 UTC\n2026-04-12T12:10:05.621863Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-12T12:10:05.621994Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-12T12:10:05.622006Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-12T12:10:05.622028Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-12T12:10:05.622056Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-12T12:10:06.456460Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-12T12:10:06.594061Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=2007, dur=68ms\n2026-04-12T12:10:10.186195Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-12T12:10:10.186396Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-12T12:11:05.220594Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 181 eligible frames\n2026-04-12T12:11:11.494702Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 84 frames, 25.2MB → 6.3MB (4.0x), 84 JPEGs deleted\n2026-04-12T12:11:17.232606Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 97 frames, 18.3MB → 6.2MB (2.9x), 97 JPEGs deleted\n2026-04-12T12:13:51.158642Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5317717262786825427, trigger=click)\n2026-04-12T12:15:05.180419Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T12:15:40.184321Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:15:40.184301+00:00 (14d retention)\n2026-04-12T12:16:17.236544Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\n2026-04-12T12:20:40.179920Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:20:40.179797+00:00 (14d retention)\n2026-04-12T12:21:17.250250Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 7 eligible frames\n2026-04-12T12:21:18.107107Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 7 frames, 1.4MB → 0.8MB (1.7x), 7 JPEGs deleted\n2026-04-12T12:24:16.430543Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4250924808526184698, trigger=visual_change)\n2026-04-12T12:25:40.173713Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:25:40.173688+00:00 (14d retention)\n2026-04-12T12:26:18.128910Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 33 eligible frames\n2026-04-12T12:26:20.138315Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 32 frames, 7.0MB → 0.8MB (8.7x), 32 JPEGs deleted\n2026-04-12T12:30:05.166946Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T12:30:40.171221Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:30:40.171200+00:00 (14d retention)\n2026-04-12T12:31:20.144724Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-04-12T12:31:21.560033Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 21 frames, 4.9MB → 0.7MB (7.6x), 21 JPEGs deleted\n2026-04-12T12:35:00.828583Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-281110806643736172, trigger=visual_change)\n2026-04-12T12:35:03.844147Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-281110806643736172, trigger=visual_change)\n2026-04-12T12:35:40.166356Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:35:40.166327+00:00 (14d retention)\n2026-04-12T12:36:21.559575Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 28 eligible frames\n2026-04-12T12:36:23.246812Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 27 frames, 6.8MB → 1.2MB (5.6x), 27 JPEGs deleted\n2026-04-12T12:40:05.161337Z INFO screenpipe_engine::server: api_usage_5min: 5 requests\n2026-04-12T12:40:40.162006Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:40:40.161992+00:00 (14d retention)\n2026-04-12T12:41:23.259096Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 53 eligible frames\n2026-04-12T12:41:26.299067Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 8.8MB → 1.3MB (6.8x), 52 JPEGs deleted\n2026-04-12T12:45:05.139097Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T12:45:40.140309Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:45:40.140283+00:00 (14d retention)\n2026-04-12T12:46:26.287847Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 48 eligible frames\n2026-04-12T12:46:29.111337Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 47 frames, 9.1MB → 2.0MB (4.7x), 47 JPEGs deleted\n2026-04-12T12:47:12.293066Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"query\": syntax error\n2026-04-12T12:47:12.314881Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=23 ms\n2026-04-12T12:47:12.322064Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"query\": syntax error\n2026-04-12T12:47:12.323213Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=1 ms\n2026-04-12T12:47:12.332639Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"query\": syntax error\n2026-04-12T12:47:12.333474Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=1 ms\n2026-04-12T12:50:05.129892Z INFO screenpipe_engine::server: api_usage_5min: 14 requests\n2026-04-12T12:50:40.133384Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:50:40.133368+00:00 (14d retention)\n2026-04-12T12:50:48.483906Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3201637072814402786, trigger=clipboard)\n2026-04-12T12:51:29.114657Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 55 eligible frames\n2026-04-12T12:51:32.274657Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 54 frames, 10.7MB → 1.2MB (8.8x), 54 JPEGs deleted\n2026-04-12T12:51:50.657496Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8570373400052333386, trigger=visual_change)\n2026-04-12T12:51:53.531421Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8570373400052333386, trigger=clipboard)\n2026-04-12T12:52:33.156055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8570373400052333386, trigger=visual_change)\n2026-04-12T12:52:36.207045Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6057485343643205248, trigger=visual_change)\n2026-04-12T12:52:42.294851Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8429058275919060180, trigger=visual_change)\n2026-04-12T12:52:45.344136Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8429058275919060180, trigger=visual_change)\n2026-04-12T12:52:57.405222Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8429058275919060180, trigger=visual_change)\n2026-04-12T12:53:29.314161Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7087674617541832757, trigger=click)\n2026-04-12T12:53:31.308853Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7087674617541832757, trigger=visual_change)\n2026-04-12T12:53:32.302666Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7087674617541832757, trigger=clipboard)\n2026-04-12T12:53:50.191522Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=click)\n2026-04-12T12:53:52.462167Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=visual_change)\n2026-04-12T12:53:53.002515Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=clipboard)\n2026-04-12T12:53:53.245599Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=clipboard)\n2026-04-12T12:54:01.713907Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=visual_change)\n2026-04-12T12:54:02.065796Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=click)\n2026-04-12T12:54:03.054796Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=clipboard)\n2026-04-12T12:54:14.555558Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=click)\n2026-04-12T12:54:16.887305Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=visual_change)\n2026-04-12T12:54:17.707048Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=clipboard)\n2026-04-12T12:54:18.093922Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=clipboard)\n2026-04-12T12:54:27.567091Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=click)\n2026-04-12T12:54:41.199604Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7515100644333240407, trigger=visual_change)\n2026-04-12T12:54:45.457560Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6135796213496328218, trigger=click)\n2026-04-12T12:55:02.399197Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5977802119930280221, trigger=visual_change)\n2026-04-12T12:55:05.124218Z INFO screenpipe_engine::server: api_usage_5min: 23 requests\n2026-04-12T12:55:08.448490Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5977802119930280221, trigger=visual_change)\n2026-04-12T12:55:14.475004Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7089658380675787742, trigger=visual_change)\n2026-04-12T12:55:15.633065Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7089658380675787742, trigger=click)\n2026-04-12T12:55:36.773469Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1358535730777765689, trigger=visual_change)\n2026-04-12T12:55:37.035086Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"LIMIT\": syntax error\n2026-04-12T12:55:37.037627Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=3 ms\n2026-04-12T12:55:40.127745Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:55:40.127723+00:00 (14d retention)\n2026-04-12T12:55:57.668576Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=click)\n2026-04-12T12:55:57.930780Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=visual_change)\n2026-04-12T12:56:00.929064Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=visual_change)\n2026-04-12T12:56:01.381123Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=clipboard)\n2026-04-12T12:56:32.282413Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 63 eligible frames\n2026-04-12T12:56:35.864419Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 62 frames, 12.3MB → 1.4MB (8.8x), 62 JPEGs deleted\n2026-04-12T12:57:23.323460Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7117750811651615127, trigger=visual_change)\n2026-04-12T12:57:50.662064Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:57:53.683485Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:57:55.798894Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=click)\n2026-04-12T12:57:56.695259Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:57:59.627838Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=clipboard)\n2026-04-12T12:58:06.244699Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:58:12.326714Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1307508556897368580, trigger=visual_change)\n2026-04-12T12:58:24.650586Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7572195946815769416, trigger=visual_change)\n2026-04-12T12:58:33.716470Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3380018746534994898, trigger=visual_change)\n2026-04-12T12:58:36.001151Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3380018746534994898, trigger=clipboard)\n2026-04-12T12:58:58.301152Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1143839518323082265, trigger=visual_change)\n2026-04-12T12:59:04.378698Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:07.382586Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:10.381122Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:16.434529Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:22.369195Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=click)\n2026-04-12T12:59:25.626810Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:26.286149Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=clipboard)\n2026-04-12T12:59:26.557203Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=clipboard)\n2026-04-12T12:59:30.443395Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=click)\n2026-04-12T12:59:32.544924Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:44.704803Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=443481647041916883, trigger=visual_change)\n2026-04-12T13:00:05.117734Z INFO screenpipe_engine::server: api_usage_5min: 14 requests\n2026-04-12T13:00:40.121236Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:00:40.121208+00:00 (14d retention)\n2026-04-12T13:01:35.875809Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 93 eligible frames\n2026-04-12T13:01:41.052370Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 92 frames, 16.3MB → 2.6MB (6.2x), 92 JPEGs deleted\n2026-04-12T13:05:05.113110Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-12T13:05:40.135052Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:05:40.135037+00:00 (14d retention)\n2026-04-12T13:06:41.084839Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 76 eligible frames\n2026-04-12T13:06:45.534272Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 75 frames, 14.1MB → 7.0MB (2.0x), 75 JPEGs deleted\n2026-04-12T13:10:40.134615Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:10:40.134575+00:00 (14d retention)\n2026-04-12T13:11:45.546114Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 65 eligible frames\n2026-04-12T13:11:49.453197Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 64 frames, 10.2MB → 3.6MB (2.8x), 64 JPEGs deleted\n2026-04-12T13:13:54.895981Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-04-12T13:23:50.936233Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:23:50.936218+00:00 (14d retention)\n2026-04-12T13:25:00.291068Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 32 eligible frames\n2026-04-12T13:25:02.158205Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 31 frames, 4.5MB → 1.2MB (3.7x), 31 JPEGs deleted\n2026-04-12T13:32:02.286288Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:32:02.286237+00:00 (14d retention)\n2026-04-12T13:36:43.535311Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n2026-04-12T14:00:30.096441Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T11:00:30.096410+00:00 (14d retention)\n2026-04-12T14:03:33.050373Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T14:19:54.331647Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T11:19:54.331585+00:00 (14d retention)\n2026-04-12T14:25:49.460879Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T14:47:08.896043Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T14:51:40.566736Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T11:51:40.566667+00:00 (14d retention)\n2026-04-12T15:04:41.463531Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T15:09:53.670591Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-04-12T15:09:53.687234Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-04-12T15:09:53.694692Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s)\n2026-04-12T15:09:54.069049Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-12T15:09:54.972151Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=18550308951191011, trigger=click)\n2026-04-12T15:10:00.918510Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4593439385064446773, trigger=visual_change)\n2026-04-12T15:10:03.918707Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=18550308951191011, trigger=visual_change)\n2026-04-12T15:11:30.984863Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:11:30.984842+00:00 (14d retention)\n2026-04-12T15:16:30.982686Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:16:30.982661+00:00 (14d retention)\n2026-04-12T15:21:30.980571Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:21:30.980551+00:00 (14d retention)\n2026-04-12T15:22:42.975270Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 33 eligible frames\n2026-04-12T15:22:45.011395Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 33 frames, 3.1MB → 1.1MB (2.8x), 33 JPEGs deleted\n2026-04-12T15:26:30.978141Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:26:30.978120+00:00 (14d retention)\n2026-04-12T15:27:45.265922Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 84 eligible frames\n2026-04-12T15:27:49.938865Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 83 frames, 6.3MB → 0.1MB (58.2x), 83 JPEGs deleted\n2026-04-12T15:31:30.953991Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:31:30.953971+00:00 (14d retention)\n2026-04-12T15:32:50.166006Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 103 eligible frames\n2026-04-12T15:32:55.707883Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 99 frames, 7.5MB → 0.1MB (70.1x), 99 JPEGs deleted\n2026-04-12T15:32:56.071976Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 3 frames, 0.2MB → 0.1MB (3.0x), 3 JPEGs deleted\n2026-04-12T15:36:30.948421Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:36:30.948401+00:00 (14d retention)\n2026-04-12T15:37:56.337459Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 103 eligible frames\n2026-04-12T15:38:01.842312Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.0x), 98 JPEGs deleted\n2026-04-12T15:38:02.207918Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 3 frames, 0.2MB → 0.1MB (2.8x), 3 JPEGs deleted\n2026-04-12T15:41:30.945296Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:41:30.945274+00:00 (14d retention)\n2026-04-12T15:43:02.496758Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 126 eligible frames\n2026-04-12T15:43:08.031970Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (68.3x), 98 JPEGs deleted\n2026-04-12T15:43:09.583075Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 26 frames, 2.0MB → 0.1MB (21.5x), 26 JPEGs deleted\n2026-04-12T15:46:30.941625Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:46:30.941607+00:00 (14d retention)\n2026-04-12T15:48:09.854085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 127 eligible frames\n2026-04-12T15:48:15.376242Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.2x), 98 JPEGs deleted\n2026-04-12T15:48:16.986205Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 27 frames, 2.0MB → 0.1MB (22.4x), 27 JPEGs deleted\n2026-04-12T15:51:30.931020Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:51:30.931+00:00 (14d retention)\n2026-04-12T15:53:17.140652Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 126 eligible frames\n2026-04-12T15:53:22.544303Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.5x), 98 JPEGs deleted\n2026-04-12T15:53:24.051282Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 26 frames, 2.0MB → 0.1MB (21.4x), 26 JPEGs deleted\n2026-04-12T15:56:30.903513Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:56:30.903491+00:00 (14d retention)\n2026-04-12T15:58:24.061857Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 107 eligible frames\n2026-04-12T15:58:29.565651Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.8x), 98 JPEGs deleted\n2026-04-12T15:58:30.163222Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 7 frames, 0.5MB → 0.1MB (6.1x), 7 JPEGs deleted\n2026-04-12T16:01:30.898705Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:01:30.898688+00:00 (14d retention)\n2026-04-12T16:03:30.176572Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 125 eligible frames\n2026-04-12T16:03:35.702407Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (66.5x), 98 JPEGs deleted\n2026-04-12T16:03:37.208567Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 25 frames, 1.9MB → 0.1MB (19.5x), 25 JPEGs deleted\n2026-04-12T16:06:30.893145Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:06:30.893123+00:00 (14d retention)\n2026-04-12T16:08:37.224128Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 137 eligible frames\n2026-04-12T16:08:42.754922Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.6MB → 0.1MB (55.1x), 98 JPEGs deleted\n2026-04-12T16:08:44.902888Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 37 frames, 2.9MB → 0.1MB (27.8x), 37 JPEGs deleted\n2026-04-12T16:11:30.884492Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:11:30.884475+00:00 (14d retention)\n2026-04-12T16:13:44.914274Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 102 eligible frames\n2026-04-12T16:13:50.332990Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.6MB → 0.1MB (60.2x), 98 JPEGs deleted\n2026-04-12T16:13:50.582963Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 2 frames, 0.2MB → 0.1MB (1.9x), 2 JPEGs deleted\n2026-04-12T16:16:30.874710Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:16:30.874654+00:00 (14d retention)\n2026-04-12T16:18:50.598274Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 92 eligible frames\n2026-04-12T16:18:55.602978Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 90 frames, 7.0MB → 0.1MB (56.9x), 90 JPEGs deleted\n2026-04-12T16:21:30.868887Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:21:30.868843+00:00 (14d retention)\n2026-04-12T16:23:55.619078Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 39 eligible frames\n2026-04-12T16:23:57.827626Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 38 frames, 2.9MB → 0.1MB (28.1x), 38 JPEGs deleted\n2026-04-12T16:25:51.808414Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=18550308951191011, trigger=visual_change)\n2026-04-12T16:25:55.859250Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T16:26:22.022550Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=335681983743287612, trigger=visual_change)\n2026-04-12T16:26:30.862865Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:26:30.862859+00:00 (14d retention)\n2026-04-12T16:26:49.195853Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5343690734172522381, trigger=visual_change)\n2026-04-12T16:26:50.724575Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5343690734172522381, trigger=clipboard)\n2026-04-12T16:26:58.277345Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3010912370653750266, trigger=visual_change)\n2026-04-12T16:26:59.647372Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3010912370653750266, trigger=clipboard)\n2026-04-12T16:27:58.948426Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3010912370653750266, trigger=visual_change)\n2026-04-12T16:28:57.842202Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 28 eligible frames\n2026-04-12T16:28:59.471378Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 27 frames, 2.1MB → 0.1MB (19.7x), 27 JPEGs deleted\n2026-04-12T16:30:07.202386Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3216013508830929208, trigger=click)\n2026-04-12T16:30:55.852584Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-12T16:31:30.887381Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:31:30.887363+00:00 (14d retention)\n2026-04-12T16:31:49.004783Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4616856516066852268, trigger=visual_change)\n2026-04-12T16:31:49.729537Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4616856516066852268, trigger=click)\n2026-04-12T16:31:55.091180Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4616856516066852268, trigger=visual_change)\n2026-04-12T16:32:38.955241Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=click)\n2026-04-12T16:32:41.068172Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=clipboard)\n2026-04-12T16:32:42.939568Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=click)\n2026-04-12T16:32:44.448998Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=visual_change)\n2026-04-12T16:32:46.133335Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=click)\n2026-04-12T16:32:47.467019Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=visual_change)\n2026-04-12T16:32:47.909378Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=clipboard)\n2026-04-12T16:33:06.479217Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=visual_change)\n2026-04-12T16:33:09.545186Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5503780454464997020, trigger=visual_change)\n2026-04-12T16:33:15.550145Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7389604070772900291, trigger=visual_change)\n2026-04-12T16:33:59.523675Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 12 eligible frames\n2026-04-12T16:34:00.275262Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 11 frames, 0.9MB → 0.1MB (9.2x), 11 JPEGs deleted\n2026-04-12T16:36:30.893415Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:36:30.893405+00:00 (14d retention)\n2026-04-12T16:37:02.339834Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-04-12T16:42:28.176895Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 54 eligible frames\n2026-04-12T16:42:31.234893Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 53 frames, 4.9MB → 1.5MB (3.4x), 53 JPEGs deleted\n2026-04-12T16:46:30.256919Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:46:30.256841+00:00 (14d retention)\n2026-04-12T16:58:23.782435Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T16:59:58.366015Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 25 eligible frames\n2026-04-12T16:59:59.856243Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 24 frames, 2.8MB → 0.5MB (5.8x), 24 JPEGs deleted\n2026-04-12T18:37:05.993577Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T18:39:53.607673Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T18:46:44.262699Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T15:46:44.262630+00:00 (14d retention)\n2026-04-12T18:55:18.717641Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n2026-04-12T19:09:18.536900Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T20:13:29.785331Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T17:13:29.785272+00:00 (14d retention)\n2026-04-12T20:13:47.397970Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-12T20:14:53.267187Z INFO screenpipe_engine::vision_manager::monitor_watcher: New monitor 6 detected, starting recording\n2026-04-12T20:14:53.504465Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 6 (2560x1440)\n2026-04-12T20:14:53.504821Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 6 (device: monitor_6)\n2026-04-12T20:14:53.504861Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 1 disconnected, stopping recording\n2026-04-12T20:14:53.504869Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-12T20:14:53.505247Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 6 (device: monitor_6)\n2026-04-12T20:14:53.505539Z INFO screenpipe_engine::event_driven_capture: screen is locked on startup, skipping initial capture for monitor 6\n2026-04-12T20:26:44.490006Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T21:19:37.144088Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-12T22:14:45.376795Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 1 reconnected, resuming recording\n2026-04-12T22:14:45.691383Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-12T22:14:45.691471Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-12T22:14:45.691487Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 6 disconnected, stopping recording\n2026-04-12T22:14:45.691497Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 6\n2026-04-12T22:14:45.691504Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-12T22:14:45.691518Z INFO screenpipe_engine::event_driven_capture: screen is locked on startup, skipping initial capture for monitor 1\n2026-04-12T22:15:08.850666Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:15:35.653527Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:15:35.653498+00:00 (14d retention)\n2026-04-12T22:16:13.877754Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:16:34.828212Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-04-12T22:16:34.868351Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-04-12T22:16:34.883187Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s)\n2026-04-12T22:16:35.346631Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-12T22:16:48.463120Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8881612386233290395, trigger=visual_change)\n2026-04-12T22:16:48.804890Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8881612386233290395, trigger=click)\n2026-04-12T22:16:59.897151Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3604981275089575272, trigger=click)\n2026-04-12T22:17:18.850373Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-2355689602952124658, trigger=visual_change)\n2026-04-12T22:17:18.918578Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:17:33.961611Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1484931182052497352, trigger=visual_change)\n2026-04-12T22:18:23.938126Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:18:52.752659Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7132740500514870786, trigger=visual_change)\n2026-04-12T22:19:28.964313Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:19:35.208922Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7520087617581375402, trigger=visual_change)\n2026-04-12T22:19:38.220553Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7520087617581375402, trigger=visual_change)\n2026-04-12T22:20:29.699327Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8423083696421607961, trigger=visual_change)\n2026-04-12T22:20:34.005845Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:20:35.648827Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:20:35.648818+00:00 (14d retention)\n2026-04-12T22:20:38.768848Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8423083696421607961, trigger=visual_change)\n2026-04-12T22:20:47.878009Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7616415175664572712, trigger=visual_change)\n2026-04-12T22:20:50.900875Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7616415175664572712, trigger=visual_change)\n2026-04-12T22:20:59.937401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1304474969039783672, trigger=visual_change)\n2026-04-12T22:21:27.187255Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5660606474235116689, trigger=visual_change)\n2026-04-12T22:21:30.214215Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5660606474235116689, trigger=visual_change)\n2026-04-12T22:21:33.220423Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5660606474235116689, trigger=visual_change)\n2026-04-12T22:21:39.027483Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:21:54.477609Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3451424756031953095, trigger=visual_change)\n2026-04-12T22:21:57.490028Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3451424756031953095, trigger=visual_change)\n2026-04-12T22:22:06.557939Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6096774307956840043, trigger=visual_change)\n2026-04-12T22:22:09.561968Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6096774307956840043, trigger=visual_change)\n2026-04-12T22:22:12.620628Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6096774307956840043, trigger=visual_change)\n2026-04-12T22:22:27.699475Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4406650560182634868, trigger=visual_change)\n2026-04-12T22:22:39.836999Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6702397966650464851, trigger=visual_change)\n2026-04-12T22:22:44.052745Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:22:54.977274Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4954038102724882870, trigger=visual_change)\n2026-04-12T22:23:04.067624Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7556556138478186125, trigger=visual_change)\n2026-04-12T22:23:22.229817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9076293218035077076, trigger=visual_change)\n2026-04-12T22:23:28.278077Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4783981874452913338, trigger=visual_change)\n2026-04-12T22:23:34.312538Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4783981874452913338, trigger=visual_change)\n2026-04-12T22:23:40.338438Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4987736796410036352, trigger=visual_change)\n2026-04-12T22:23:43.350979Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4987736796410036352, trigger=visual_change)\n2026-04-12T22:23:49.082693Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:23:58.499624Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-763583983667788238, trigger=visual_change)\n2026-04-12T22:24:01.517862Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-763583983667788238, trigger=visual_change)\n2026-04-12T22:24:10.610720Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-528530849735058466, trigger=visual_change)\n2026-04-12T22:24:13.622839Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-528530849735058466, trigger=visual_change)\n2026-04-12T22:24:28.729718Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-268381976421465647, trigger=visual_change)\n2026-04-12T22:24:37.819714Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4292471428384779442, trigger=visual_change)\n2026-04-12T22:24:40.807487Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4292471428384779442, trigger=visual_change)\n2026-04-12T22:24:43.926970Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4292471428384779442, trigger=visual_change)\n2026-04-12T22:24:54.102622Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:24:56.037518Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1336615422496480469, trigger=visual_change)\n2026-04-12T22:25:04.994185Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-2490954796285178130, trigger=visual_change)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-12T22:25:14.042201Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6660592639383128564, trigger=visual_change)\n2026-04-12T22:25:20.906940Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7604187256398490687, trigger=click)\n2026-04-12T22:25:35.646197Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:25:35.646180+00:00 (14d retention)\n2026-04-12T22:25:59.131708Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:30:35.546756Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:30:35.546690+00:00 (14d retention)\n2026-04-12T22:35:35.540779Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:35:35.540726+00:00 (14d retention)\n2026-04-12T22:40:35.534224Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:40:35.534197+00:00 (14d retention)\n2026-04-12T22:45:35.553749Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:45:35.553714+00:00 (14d retention)\n2026-04-12T22:50:35.547970Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:50:35.547775+00:00 (14d retention)\n2026-04-12T22:55:35.543613Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:55:35.543583+00:00 (14d retention)\n2026-04-12T23:00:35.530639Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:00:35.530575+00:00 (14d retention)\n2026-04-12T23:05:35.525661Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:05:35.525614+00:00 (14d retention)\n2026-04-12T23:10:35.519806Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:10:35.519766+00:00 (14d retention)\n2026-04-12T23:15:35.531767Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:15:35.531720+00:00 (14d retention)\n2026-04-12T23:20:35.528053Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:20:35.527995+00:00 (14d retention)\n2026-04-12T23:25:35.522960Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:25:35.522901+00:00 (14d retention)\n2026-04-12T23:30:35.517961Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:30:35.517905+00:00 (14d retention)\n2026-04-12T23:35:35.513125Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:35:35.513064+00:00 (14d retention)\n2026-04-12T23:40:35.509062Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:40:35.508928+00:00 (14d retention)\n2026-04-12T23:45:35.504021Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:45:35.503956+00:00 (14d retention)\n2026-04-12T23:50:35.454615Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:50:35.454592+00:00 (14d retention)\n2026-04-12T23:55:35.448748Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:55:35.448668+00:00 (14d retention)\n2026-04-13T00:00:35.442141Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T21:00:35.442098+00:00 (14d retention)\n2026-04-13T00:05:35.495992Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T21:05:35.495911+00:00 (14d retention)\n2026-04-13T00:10:33.704826Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-04-13T00:10:35.489255Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T21:10:35.489246+00:00 (14d retention)\n2026-04-13T04:35:50.292492Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:08:19.632155Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:23:13.306515Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:44:49.127855Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:46:08.530755Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-30T06:46:08.530742+00:00 (14d retention)\n2026-04-13T09:56:03.339024Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T10:17:58.001333Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T15:09:17.685286Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T15:10:58.856201Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-30T12:10:58.856189+00:00 (14d retention)\n2026-04-13T15:11:08.215959Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-04-13T15:11:08.233258Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-04-13T15:11:08.258389Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s)\n2026-04-13T15:11:08.584259Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-13T15:11:08.744918Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: day rollover (102 -> 103), clearing cache\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-13T15:11:18.351950Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3109533011400363461, trigger=click)","depth":4,"value":"ukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:13.042296+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908753042_m1.jpg\",\"id\":608,\"initial_traversal_at\":null,\"offset_index\":8,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:12-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:13.042296+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":607,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg\",\"offset_index\":7,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:11.727790+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg\",\"id\":607,\"initial_traversal_at\":null,\"offset_index\":7,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:11.727790+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":606,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg\",\"offset_index\":6,\"tags\":[],\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:10.057147+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg\",\"id\":606,\"initial_traversal_at\":null,\"offset_index\":6,\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:10.057147+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":605,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg\",\"offset_index\":5,\"tags\":[],\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:08.370141+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg\",\"id\":605,\"initial_traversal_at\":null,\"offset_index\":5,\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:08.370141+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":604,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg\",\"offset_index\":4,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:06.455174+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg\",\"id\":604,\"initial_traversal_at\":null,\"offset_index\":4,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:06.455174+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":603,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg\",\"offset_index\":3,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:05.447678+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg\",\"id\":603,\"initial_traversal_at\":null,\"offset_index\":3,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:05.447678+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":602,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg\",\"offset_index\":2,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:03.689217+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg\",\"id\":602,\"initial_traversal_at\":null,\"offset_index\":2,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:03.689217+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":601,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908741975_m1.jpg\",\"offset_index\":1,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:01-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:01.975481+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908741975_m1.jpg\",\"id\":601,\"initial_traversal_at\":null,\"offset_index\":1,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:01-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:59:01.975481+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":600,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908739730_m1.jpg\",\"offset_index\":0,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:59-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:59.730303+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908739730_m1.jpg\",\"id\":600,\"initial_traversal_at\":null,\"offset_index\":0,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:59-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:59.730303+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"\",\"focused\":true,\"frame\":null,\"frame_id\":599,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908737773_m1.jpg\",\"offset_index\":0,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow HelpA100% C8Sat 11 Apr 14:58:57-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh₴86-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:57.773434+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908737773_m1.jpg\",\"id\":599,\"initial_traversal_at\":null,\"offset_index\":0,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow HelpA100% C8Sat 11 Apr 14:58:57-zsh181DOCKERDEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zsh₴86-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:57.773434+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":598,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908736673_m1.jpg\",\"offset_index\":50,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:56-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:56.673970+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908736673_m1.jpg\",\"id\":598,\"initial_traversal_at\":null,\"offset_index\":50,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:56-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:56.673970+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":597,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908735694_m1.jpg\",\"offset_index\":49,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:55-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:55.694361+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908735694_m1.jpg\",\"id\":597,\"initial_traversal_at\":null,\"offset_index\":49,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:55-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:55.694361+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":596,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908734033_m1.jpg\",\"offset_index\":48,\"tags\":[],\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:53-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:54.033733+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908734033_m1.jpg\",\"id\":596,\"initial_traversal_at\":null,\"offset_index\":48,\"text\":\"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:58:53-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:54.033733+03:00\",\"window_name\":\"\"},\"type\":\"UI\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"device_name\":\"monitor_1\",\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"focused\":true,\"frame\":null,\"frame_id\":595,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908731550_m1.jpg\",\"offset_index\":47,\"tags\":[],\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:51.550116+03:00\",\"window_name\":\"\"},\"type\":\"OCR\"},{\"content\":{\"app_name\":\"\",\"browser_url\":null,\"file_path\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4\",\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908731550_m1.jpg\",\"id\":595,\"initial_traversal_at\":null,\"offset_index\":47,\"text\":\"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\\\nDOCKER\\\\nClose Tab\\\\nDEV (-zsh)\\\\nCloseTab\\\\nAPP (-zsh)\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\n-zsh\\\\nClose Tab\\\\nxx1\\\\n-zsh\\\",\\\"timestamp\\\":\\\"2026-04-11T14:58:40.797783+03:00\\\",\\\"window_name\\\": \\\"-zsh\\\"},type\\\": \\\"UI\\\"3,\\\"content\\\": {\\\"app_name\\\": \\\"'',\\\"browser_url\\\": null,\\\"device_name\\\": \\\"monitor_1\\\",\\\"file_path\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"focused\\\": true,\\\"frame\\\": null,\\\"frame_id\\\": 589,\\\"frame_name\\\": \\\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\\\",\\\"offset_index\\\": 0,\\\"tags\\\": (],\\\"text\\\": \\\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\\\",\\\"timestamp\\\": \\\"2026-04-11T14:58:40.295748+03:00\\\",\\\"window_name\\\": \\\"'3,\\\"type\\\": \\\"OCR\\\"\\\"agination\\\": (\\\"limit\\\": 5,\\\"offset\\\": 0,\\\"total\\\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0\",\"timestamp\":\"2026-04-11T14:58:51.550116+03:00\",\"window_name\":\"\"},\"type\":\"UI\"}],\"pagination\":{\"limit\":50,\"offset\":0,\"total\":96}}% \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ sp-start\n[1] 52204\ndetected hardware tier: Mid\nchecking permissions...\n screen recording: ok\n accessibility: ok\n2026-04-12T12:10:04.477685Z INFO screenpipe_screen::monitor::macos_version: Detected macOS version: 14.6\n2026-04-12T12:10:05.150080Z INFO screenpipe_engine::sleep_monitor: Starting macOS sleep/wake monitor\n2026-04-12T12:10:05.151563Z INFO screenpipe: meeting detector enabled — independent of transcription mode\n2026-04-12T12:10:05.151574Z INFO screenpipe_engine::sleep_monitor: Screen lock/unlock observers registered (CFNotificationCenter)\n2026-04-12T12:10:05.151788Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction worker started (min_age=600s, poll=300s)\n2026-04-12T12:10:05.151822Z INFO screenpipe_engine::power::manager: power manager started (poll interval: 10s)\n2026-04-12T12:10:05.151963Z INFO screenpipe_engine::vision_manager::manager: Starting VisionManager\n2026-04-12T12:10:05.152208Z INFO screenpipe_core::pipes: loaded pipe: day-recap\n2026-04-12T12:10:05.152264Z INFO screenpipe_engine::sleep_monitor: Display reconfiguration watcher registered (CGDisplayRegisterReconfigurationCallback)\n2026-04-12T12:10:05.152392Z INFO screenpipe_core::pipes: loaded pipe: standup-update\n2026-04-12T12:10:05.153052Z INFO screenpipe_core::pipes: loaded pipe: ai-habits\n2026-04-12T12:10:05.153208Z INFO screenpipe_core::pipes: loaded pipe: time-breakdown\n2026-04-12T12:10:05.153372Z INFO screenpipe_core::pipes: loaded pipe: video-export\n2026-04-12T12:10:05.154192Z INFO screenpipe_core::pipes: loaded pipe: meeting-summary\n2026-04-12T12:10:05.154214Z INFO screenpipe_core::pipes: loaded 6 pipes from \"/Users/lukas/.screenpipe/pipes\"\n\n\n\n _ \n __________________ ___ ____ ____ (_____ ___ \n / ___/ ___/ ___/ _ \\/ _ \\/ __ \\ / __ \\/ / __ \\/ _ \\\n (__ / /__/ / / __/ __/ / / / / /_/ / / /_/ / __/\n/____/\\___/_/ \\___/\\___/_/ /_/ / .___/_/ .___/\\___/ \n /_/ /_/ \n\n\n\npower AI by everything you've seen, said or heard\nopen source | runs locally | developer friendly\n\n\n┌────────────────────────┬────────────────────────────────────┐\n│ setting │ value │\n├────────────────────────┼────────────────────────────────────┤\n│ audio chunk duration │ 30 seconds │\n│ port │ 3030 │\n│ audio disabled │ true │\n│ vision disabled │ false │\n│ pause on DRM content │ false │\n│ audio engine │ Parakeet │\n│ vad engine │ Silero │\n│ data directory │ /Users/lukas/.screenpipe │\n│ debug mode │ false │\n│ telemetry │ true │\n│ use pii removal │ true │\n│ use all monitors │ true │\n│ ignored windows │ [] │\n│ included windows │ [] │\n│ cloud sync │ disabled │\n│ auto-destruct pid │ 0 │\n│ deepgram key │ not set │\n├────────────────────────┼────────────────────────────────────┤\n│ languages │ │\n│ │ all languages │\n├────────────────────────┼────────────────────────────────────┤\n│ monitors │ │\n│ │ no monitors available │\n├────────────────────────┼────────────────────────────────────┤\n│ audio devices │ │\n│ │ disabled │\n└────────────────────────┴────────────────────────────────────┘\nyou are using local processing. all your data stays on your computer.\n\nwarning: telemetry is enabled. only error-level data will be sent.\nto disable, use the --disable-telemetry flag.\n\ncheck latest changes here: https://github.com/screenpipe/screenpipe/releases\n2026-04-12T12:10:05.156119Z INFO screenpipe: starting UI event capture\n2026-04-12T12:10:05.155724Z INFO screenpipe_core::pipes: pipe scheduler started (generation 2)\n2026-04-12T12:10:05.159681Z WARN screenpipe: pi agent install failed: bun not found — install from https://bun.sh\n2026-04-12T12:10:05.163034Z INFO screenpipe_engine::power::manager: initial power profile: Performance (on_ac=true, battery=Some(100))\n2026-04-12T12:10:05.170308Z INFO screenpipe_engine::ui_recorder: Starting UI event capture\n2026-04-12T12:10:05.183985Z INFO screenpipe_engine::ui_recorder: UI recording session started: 1982bc75-7b4c-48ab-80f8-a5f0f7b6a1e9\n2026-04-12T12:10:05.184088Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warming from DB (2026-04-11 09:10:05.184087 UTC to 2026-04-12 09:10:05.184087 UTC)\n2026-04-12T12:10:05.184054Z INFO screenpipe_engine::calendar_speaker_id: speaker identification: started (user_name=<not set>)\n2026-04-12T12:10:05.186279Z INFO screenpipe_engine::meeting_detector: meeting v2: detection loop started (base_interval=5s, profiles=12)\n2026-04-12T12:10:05.189984Z INFO screenpipe_engine::server: Server listening on 0.0.0.0:3030\n2026-04-12T12:10:05.194217Z INFO screenpipe_connect::mdns: mdns: advertising screenpipe on port 3030\n2026-04-12T12:10:05.547235Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 1483 frame entries, coverage from 2026-04-11 09:10:05.184087 UTC\n2026-04-12T12:10:05.621863Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-12T12:10:05.621994Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-12T12:10:05.622006Z INFO screenpipe_engine::vision_manager::manager: Skipping monitor 2 (Display 2_2560x1440_-597,-1440) — not in allowed list\n2026-04-12T12:10:05.622028Z INFO screenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (polling every 5 seconds)\n2026-04-12T12:10:05.622056Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-12T12:10:06.456460Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-12T12:10:06.594061Z INFO screenpipe_engine::event_driven_capture: startup capture for monitor 1: frame_id=2007, dur=68ms\n2026-04-12T12:10:10.186195Z INFO screenpipe_engine::retention: retention: initialized with 14d retention\n2026-04-12T12:10:10.186396Z INFO screenpipe: local retention auto-enabled (14 days)\n2026-04-12T12:11:05.220594Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 181 eligible frames\n2026-04-12T12:11:11.494702Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 84 frames, 25.2MB → 6.3MB (4.0x), 84 JPEGs deleted\n2026-04-12T12:11:17.232606Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 97 frames, 18.3MB → 6.2MB (2.9x), 97 JPEGs deleted\n2026-04-12T12:13:51.158642Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5317717262786825427, trigger=click)\n2026-04-12T12:15:05.180419Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T12:15:40.184321Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:15:40.184301+00:00 (14d retention)\n2026-04-12T12:16:17.236544Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\n2026-04-12T12:20:40.179920Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:20:40.179797+00:00 (14d retention)\n2026-04-12T12:21:17.250250Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 7 eligible frames\n2026-04-12T12:21:18.107107Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 7 frames, 1.4MB → 0.8MB (1.7x), 7 JPEGs deleted\n2026-04-12T12:24:16.430543Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4250924808526184698, trigger=visual_change)\n2026-04-12T12:25:40.173713Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:25:40.173688+00:00 (14d retention)\n2026-04-12T12:26:18.128910Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 33 eligible frames\n2026-04-12T12:26:20.138315Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 32 frames, 7.0MB → 0.8MB (8.7x), 32 JPEGs deleted\n2026-04-12T12:30:05.166946Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T12:30:40.171221Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:30:40.171200+00:00 (14d retention)\n2026-04-12T12:31:20.144724Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-04-12T12:31:21.560033Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 21 frames, 4.9MB → 0.7MB (7.6x), 21 JPEGs deleted\n2026-04-12T12:35:00.828583Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-281110806643736172, trigger=visual_change)\n2026-04-12T12:35:03.844147Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-281110806643736172, trigger=visual_change)\n2026-04-12T12:35:40.166356Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:35:40.166327+00:00 (14d retention)\n2026-04-12T12:36:21.559575Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 28 eligible frames\n2026-04-12T12:36:23.246812Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 27 frames, 6.8MB → 1.2MB (5.6x), 27 JPEGs deleted\n2026-04-12T12:40:05.161337Z INFO screenpipe_engine::server: api_usage_5min: 5 requests\n2026-04-12T12:40:40.162006Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:40:40.161992+00:00 (14d retention)\n2026-04-12T12:41:23.259096Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 53 eligible frames\n2026-04-12T12:41:26.299067Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 8.8MB → 1.3MB (6.8x), 52 JPEGs deleted\n2026-04-12T12:45:05.139097Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T12:45:40.140309Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:45:40.140283+00:00 (14d retention)\n2026-04-12T12:46:26.287847Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 48 eligible frames\n2026-04-12T12:46:29.111337Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 47 frames, 9.1MB → 2.0MB (4.7x), 47 JPEGs deleted\n2026-04-12T12:47:12.293066Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"query\": syntax error\n2026-04-12T12:47:12.314881Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=23 ms\n2026-04-12T12:47:12.322064Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"query\": syntax error\n2026-04-12T12:47:12.323213Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=1 ms\n2026-04-12T12:47:12.332639Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"query\": syntax error\n2026-04-12T12:47:12.333474Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=1 ms\n2026-04-12T12:50:05.129892Z INFO screenpipe_engine::server: api_usage_5min: 14 requests\n2026-04-12T12:50:40.133384Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:50:40.133368+00:00 (14d retention)\n2026-04-12T12:50:48.483906Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3201637072814402786, trigger=clipboard)\n2026-04-12T12:51:29.114657Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 55 eligible frames\n2026-04-12T12:51:32.274657Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 54 frames, 10.7MB → 1.2MB (8.8x), 54 JPEGs deleted\n2026-04-12T12:51:50.657496Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8570373400052333386, trigger=visual_change)\n2026-04-12T12:51:53.531421Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8570373400052333386, trigger=clipboard)\n2026-04-12T12:52:33.156055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8570373400052333386, trigger=visual_change)\n2026-04-12T12:52:36.207045Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6057485343643205248, trigger=visual_change)\n2026-04-12T12:52:42.294851Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8429058275919060180, trigger=visual_change)\n2026-04-12T12:52:45.344136Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8429058275919060180, trigger=visual_change)\n2026-04-12T12:52:57.405222Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8429058275919060180, trigger=visual_change)\n2026-04-12T12:53:29.314161Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7087674617541832757, trigger=click)\n2026-04-12T12:53:31.308853Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7087674617541832757, trigger=visual_change)\n2026-04-12T12:53:32.302666Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7087674617541832757, trigger=clipboard)\n2026-04-12T12:53:50.191522Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=click)\n2026-04-12T12:53:52.462167Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=visual_change)\n2026-04-12T12:53:53.002515Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=clipboard)\n2026-04-12T12:53:53.245599Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=clipboard)\n2026-04-12T12:54:01.713907Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=visual_change)\n2026-04-12T12:54:02.065796Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=click)\n2026-04-12T12:54:03.054796Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6764877568261218464, trigger=clipboard)\n2026-04-12T12:54:14.555558Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=click)\n2026-04-12T12:54:16.887305Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=visual_change)\n2026-04-12T12:54:17.707048Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=clipboard)\n2026-04-12T12:54:18.093922Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=clipboard)\n2026-04-12T12:54:27.567091Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8146274011262729474, trigger=click)\n2026-04-12T12:54:41.199604Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7515100644333240407, trigger=visual_change)\n2026-04-12T12:54:45.457560Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6135796213496328218, trigger=click)\n2026-04-12T12:55:02.399197Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5977802119930280221, trigger=visual_change)\n2026-04-12T12:55:05.124218Z INFO screenpipe_engine::server: api_usage_5min: 23 requests\n2026-04-12T12:55:08.448490Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5977802119930280221, trigger=visual_change)\n2026-04-12T12:55:14.475004Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7089658380675787742, trigger=visual_change)\n2026-04-12T12:55:15.633065Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7089658380675787742, trigger=click)\n2026-04-12T12:55:36.773469Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1358535730777765689, trigger=visual_change)\n2026-04-12T12:55:37.035086Z ERROR screenpipe_engine::routes::content: Failed to execute raw SQL query: error returned from database: (code: 1) near \"LIMIT\": syntax error\n2026-04-12T12:55:37.037627Z ERROR tower_http::trace::on_failure: response failed classification=Status code: 500 Internal Server Error latency=3 ms\n2026-04-12T12:55:40.127745Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T09:55:40.127723+00:00 (14d retention)\n2026-04-12T12:55:57.668576Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=click)\n2026-04-12T12:55:57.930780Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=visual_change)\n2026-04-12T12:56:00.929064Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=visual_change)\n2026-04-12T12:56:01.381123Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1450639575233297703, trigger=clipboard)\n2026-04-12T12:56:32.282413Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 63 eligible frames\n2026-04-12T12:56:35.864419Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 62 frames, 12.3MB → 1.4MB (8.8x), 62 JPEGs deleted\n2026-04-12T12:57:23.323460Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7117750811651615127, trigger=visual_change)\n2026-04-12T12:57:50.662064Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:57:53.683485Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:57:55.798894Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=click)\n2026-04-12T12:57:56.695259Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:57:59.627838Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=clipboard)\n2026-04-12T12:58:06.244699Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-511619204708572479, trigger=visual_change)\n2026-04-12T12:58:12.326714Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1307508556897368580, trigger=visual_change)\n2026-04-12T12:58:24.650586Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7572195946815769416, trigger=visual_change)\n2026-04-12T12:58:33.716470Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3380018746534994898, trigger=visual_change)\n2026-04-12T12:58:36.001151Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3380018746534994898, trigger=clipboard)\n2026-04-12T12:58:58.301152Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1143839518323082265, trigger=visual_change)\n2026-04-12T12:59:04.378698Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:07.382586Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:10.381122Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:16.434529Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:22.369195Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=click)\n2026-04-12T12:59:25.626810Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:26.286149Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=clipboard)\n2026-04-12T12:59:26.557203Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=clipboard)\n2026-04-12T12:59:30.443395Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=click)\n2026-04-12T12:59:32.544924Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6234391425887373863, trigger=visual_change)\n2026-04-12T12:59:44.704803Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=443481647041916883, trigger=visual_change)\n2026-04-12T13:00:05.117734Z INFO screenpipe_engine::server: api_usage_5min: 14 requests\n2026-04-12T13:00:40.121236Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:00:40.121208+00:00 (14d retention)\n2026-04-12T13:01:35.875809Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 93 eligible frames\n2026-04-12T13:01:41.052370Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 92 frames, 16.3MB → 2.6MB (6.2x), 92 JPEGs deleted\n2026-04-12T13:05:05.113110Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-12T13:05:40.135052Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:05:40.135037+00:00 (14d retention)\n2026-04-12T13:06:41.084839Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 76 eligible frames\n2026-04-12T13:06:45.534272Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 75 frames, 14.1MB → 7.0MB (2.0x), 75 JPEGs deleted\n2026-04-12T13:10:40.134615Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:10:40.134575+00:00 (14d retention)\n2026-04-12T13:11:45.546114Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 65 eligible frames\n2026-04-12T13:11:49.453197Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 64 frames, 10.2MB → 3.6MB (2.8x), 64 JPEGs deleted\n2026-04-12T13:13:54.895981Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-04-12T13:23:50.936233Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:23:50.936218+00:00 (14d retention)\n2026-04-12T13:25:00.291068Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 32 eligible frames\n2026-04-12T13:25:02.158205Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 31 frames, 4.5MB → 1.2MB (3.7x), 31 JPEGs deleted\n2026-04-12T13:32:02.286288Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T10:32:02.286237+00:00 (14d retention)\n2026-04-12T13:36:43.535311Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n2026-04-12T14:00:30.096441Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T11:00:30.096410+00:00 (14d retention)\n2026-04-12T14:03:33.050373Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T14:19:54.331647Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T11:19:54.331585+00:00 (14d retention)\n2026-04-12T14:25:49.460879Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T14:47:08.896043Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T14:51:40.566736Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T11:51:40.566667+00:00 (14d retention)\n2026-04-12T15:04:41.463531Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T15:09:53.670591Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-04-12T15:09:53.687234Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-04-12T15:09:53.694692Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s)\n2026-04-12T15:09:54.069049Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-12T15:09:54.972151Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=18550308951191011, trigger=click)\n2026-04-12T15:10:00.918510Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4593439385064446773, trigger=visual_change)\n2026-04-12T15:10:03.918707Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=18550308951191011, trigger=visual_change)\n2026-04-12T15:11:30.984863Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:11:30.984842+00:00 (14d retention)\n2026-04-12T15:16:30.982686Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:16:30.982661+00:00 (14d retention)\n2026-04-12T15:21:30.980571Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:21:30.980551+00:00 (14d retention)\n2026-04-12T15:22:42.975270Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 33 eligible frames\n2026-04-12T15:22:45.011395Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 33 frames, 3.1MB → 1.1MB (2.8x), 33 JPEGs deleted\n2026-04-12T15:26:30.978141Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:26:30.978120+00:00 (14d retention)\n2026-04-12T15:27:45.265922Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 84 eligible frames\n2026-04-12T15:27:49.938865Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 83 frames, 6.3MB → 0.1MB (58.2x), 83 JPEGs deleted\n2026-04-12T15:31:30.953991Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:31:30.953971+00:00 (14d retention)\n2026-04-12T15:32:50.166006Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 103 eligible frames\n2026-04-12T15:32:55.707883Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 99 frames, 7.5MB → 0.1MB (70.1x), 99 JPEGs deleted\n2026-04-12T15:32:56.071976Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 3 frames, 0.2MB → 0.1MB (3.0x), 3 JPEGs deleted\n2026-04-12T15:36:30.948421Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:36:30.948401+00:00 (14d retention)\n2026-04-12T15:37:56.337459Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 103 eligible frames\n2026-04-12T15:38:01.842312Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.0x), 98 JPEGs deleted\n2026-04-12T15:38:02.207918Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 3 frames, 0.2MB → 0.1MB (2.8x), 3 JPEGs deleted\n2026-04-12T15:41:30.945296Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:41:30.945274+00:00 (14d retention)\n2026-04-12T15:43:02.496758Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 126 eligible frames\n2026-04-12T15:43:08.031970Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (68.3x), 98 JPEGs deleted\n2026-04-12T15:43:09.583075Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 26 frames, 2.0MB → 0.1MB (21.5x), 26 JPEGs deleted\n2026-04-12T15:46:30.941625Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:46:30.941607+00:00 (14d retention)\n2026-04-12T15:48:09.854085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 127 eligible frames\n2026-04-12T15:48:15.376242Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.2x), 98 JPEGs deleted\n2026-04-12T15:48:16.986205Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 27 frames, 2.0MB → 0.1MB (22.4x), 27 JPEGs deleted\n2026-04-12T15:51:30.931020Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:51:30.931+00:00 (14d retention)\n2026-04-12T15:53:17.140652Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 126 eligible frames\n2026-04-12T15:53:22.544303Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.5x), 98 JPEGs deleted\n2026-04-12T15:53:24.051282Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 26 frames, 2.0MB → 0.1MB (21.4x), 26 JPEGs deleted\n2026-04-12T15:56:30.903513Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T12:56:30.903491+00:00 (14d retention)\n2026-04-12T15:58:24.061857Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 107 eligible frames\n2026-04-12T15:58:29.565651Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (67.8x), 98 JPEGs deleted\n2026-04-12T15:58:30.163222Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 7 frames, 0.5MB → 0.1MB (6.1x), 7 JPEGs deleted\n2026-04-12T16:01:30.898705Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:01:30.898688+00:00 (14d retention)\n2026-04-12T16:03:30.176572Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 125 eligible frames\n2026-04-12T16:03:35.702407Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.4MB → 0.1MB (66.5x), 98 JPEGs deleted\n2026-04-12T16:03:37.208567Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 25 frames, 1.9MB → 0.1MB (19.5x), 25 JPEGs deleted\n2026-04-12T16:06:30.893145Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:06:30.893123+00:00 (14d retention)\n2026-04-12T16:08:37.224128Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 137 eligible frames\n2026-04-12T16:08:42.754922Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.6MB → 0.1MB (55.1x), 98 JPEGs deleted\n2026-04-12T16:08:44.902888Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 37 frames, 2.9MB → 0.1MB (27.8x), 37 JPEGs deleted\n2026-04-12T16:11:30.884492Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:11:30.884475+00:00 (14d retention)\n2026-04-12T16:13:44.914274Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 102 eligible frames\n2026-04-12T16:13:50.332990Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 98 frames, 7.6MB → 0.1MB (60.2x), 98 JPEGs deleted\n2026-04-12T16:13:50.582963Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 2 frames, 0.2MB → 0.1MB (1.9x), 2 JPEGs deleted\n2026-04-12T16:16:30.874710Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:16:30.874654+00:00 (14d retention)\n2026-04-12T16:18:50.598274Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 92 eligible frames\n2026-04-12T16:18:55.602978Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 90 frames, 7.0MB → 0.1MB (56.9x), 90 JPEGs deleted\n2026-04-12T16:21:30.868887Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:21:30.868843+00:00 (14d retention)\n2026-04-12T16:23:55.619078Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 39 eligible frames\n2026-04-12T16:23:57.827626Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 38 frames, 2.9MB → 0.1MB (28.1x), 38 JPEGs deleted\n2026-04-12T16:25:51.808414Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=18550308951191011, trigger=visual_change)\n2026-04-12T16:25:55.859250Z INFO screenpipe_engine::server: api_usage_5min: 1 requests\n2026-04-12T16:26:22.022550Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=335681983743287612, trigger=visual_change)\n2026-04-12T16:26:30.862865Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:26:30.862859+00:00 (14d retention)\n2026-04-12T16:26:49.195853Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5343690734172522381, trigger=visual_change)\n2026-04-12T16:26:50.724575Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5343690734172522381, trigger=clipboard)\n2026-04-12T16:26:58.277345Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3010912370653750266, trigger=visual_change)\n2026-04-12T16:26:59.647372Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3010912370653750266, trigger=clipboard)\n2026-04-12T16:27:58.948426Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3010912370653750266, trigger=visual_change)\n2026-04-12T16:28:57.842202Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 28 eligible frames\n2026-04-12T16:28:59.471378Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 27 frames, 2.1MB → 0.1MB (19.7x), 27 JPEGs deleted\n2026-04-12T16:30:07.202386Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=3216013508830929208, trigger=click)\n2026-04-12T16:30:55.852584Z INFO screenpipe_engine::server: api_usage_5min: 2 requests\n2026-04-12T16:31:30.887381Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:31:30.887363+00:00 (14d retention)\n2026-04-12T16:31:49.004783Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4616856516066852268, trigger=visual_change)\n2026-04-12T16:31:49.729537Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4616856516066852268, trigger=click)\n2026-04-12T16:31:55.091180Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4616856516066852268, trigger=visual_change)\n2026-04-12T16:32:38.955241Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=click)\n2026-04-12T16:32:41.068172Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=clipboard)\n2026-04-12T16:32:42.939568Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=click)\n2026-04-12T16:32:44.448998Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6390325610652879158, trigger=visual_change)\n2026-04-12T16:32:46.133335Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=click)\n2026-04-12T16:32:47.467019Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=visual_change)\n2026-04-12T16:32:47.909378Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=clipboard)\n2026-04-12T16:33:06.479217Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8449023476417186364, trigger=visual_change)\n2026-04-12T16:33:09.545186Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5503780454464997020, trigger=visual_change)\n2026-04-12T16:33:15.550145Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7389604070772900291, trigger=visual_change)\n2026-04-12T16:33:59.523675Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 12 eligible frames\n2026-04-12T16:34:00.275262Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 11 frames, 0.9MB → 0.1MB (9.2x), 11 JPEGs deleted\n2026-04-12T16:36:30.893415Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:36:30.893405+00:00 (14d retention)\n2026-04-12T16:37:02.339834Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-04-12T16:42:28.176895Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 54 eligible frames\n2026-04-12T16:42:31.234893Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 53 frames, 4.9MB → 1.5MB (3.4x), 53 JPEGs deleted\n2026-04-12T16:46:30.256919Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T13:46:30.256841+00:00 (14d retention)\n2026-04-12T16:58:23.782435Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T16:59:58.366015Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 25 eligible frames\n2026-04-12T16:59:59.856243Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 24 frames, 2.8MB → 0.5MB (5.8x), 24 JPEGs deleted\n2026-04-12T18:37:05.993577Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T18:39:53.607673Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T18:46:44.262699Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T15:46:44.262630+00:00 (14d retention)\n2026-04-12T18:55:18.717641Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 1 eligible frames\n2026-04-12T19:09:18.536900Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\n2026-04-12T20:13:29.785331Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T17:13:29.785272+00:00 (14d retention)\n2026-04-12T20:13:47.397970Z ERROR screenpipe_engine::resource_monitor: Failed to send resource usage to PostHog: error sending request for url (https://us.i.posthog.com/capture/)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-12T20:14:53.267187Z INFO screenpipe_engine::vision_manager::monitor_watcher: New monitor 6 detected, starting recording\n2026-04-12T20:14:53.504465Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 6 (2560x1440)\n2026-04-12T20:14:53.504821Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 6 (device: monitor_6)\n2026-04-12T20:14:53.504861Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 1 disconnected, stopping recording\n2026-04-12T20:14:53.504869Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 1\n2026-04-12T20:14:53.505247Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 6 (device: monitor_6)\n2026-04-12T20:14:53.505539Z INFO screenpipe_engine::event_driven_capture: screen is locked on startup, skipping initial capture for monitor 6\n2026-04-12T20:26:44.490006Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T21:19:37.144088Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-12T22:14:45.376795Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 1 reconnected, resuming recording\n2026-04-12T22:14:45.691383Z INFO screenpipe_engine::vision_manager::manager: Starting vision recording for monitor 1 (1440x900)\n2026-04-12T22:14:45.691471Z INFO screenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 1 (device: monitor_1)\n2026-04-12T22:14:45.691487Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 6 disconnected, stopping recording\n2026-04-12T22:14:45.691497Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 6\n2026-04-12T22:14:45.691504Z INFO screenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)\n2026-04-12T22:14:45.691518Z INFO screenpipe_engine::event_driven_capture: screen is locked on startup, skipping initial capture for monitor 1\n2026-04-12T22:15:08.850666Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:15:35.653527Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:15:35.653498+00:00 (14d retention)\n2026-04-12T22:16:13.877754Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:16:34.828212Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-04-12T22:16:34.868351Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-04-12T22:16:34.883187Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s)\n2026-04-12T22:16:35.346631Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-12T22:16:48.463120Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8881612386233290395, trigger=visual_change)\n2026-04-12T22:16:48.804890Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=8881612386233290395, trigger=click)\n2026-04-12T22:16:59.897151Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3604981275089575272, trigger=click)\n2026-04-12T22:17:18.850373Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-2355689602952124658, trigger=visual_change)\n2026-04-12T22:17:18.918578Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:17:33.961611Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-1484931182052497352, trigger=visual_change)\n2026-04-12T22:18:23.938126Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:18:52.752659Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7132740500514870786, trigger=visual_change)\n2026-04-12T22:19:28.964313Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:19:35.208922Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7520087617581375402, trigger=visual_change)\n2026-04-12T22:19:38.220553Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-7520087617581375402, trigger=visual_change)\n2026-04-12T22:20:29.699327Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8423083696421607961, trigger=visual_change)\n2026-04-12T22:20:34.005845Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:20:35.648827Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:20:35.648818+00:00 (14d retention)\n2026-04-12T22:20:38.768848Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8423083696421607961, trigger=visual_change)\n2026-04-12T22:20:47.878009Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7616415175664572712, trigger=visual_change)\n2026-04-12T22:20:50.900875Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7616415175664572712, trigger=visual_change)\n2026-04-12T22:20:59.937401Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1304474969039783672, trigger=visual_change)\n2026-04-12T22:21:27.187255Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5660606474235116689, trigger=visual_change)\n2026-04-12T22:21:30.214215Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5660606474235116689, trigger=visual_change)\n2026-04-12T22:21:33.220423Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=5660606474235116689, trigger=visual_change)\n2026-04-12T22:21:39.027483Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:21:54.477609Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3451424756031953095, trigger=visual_change)\n2026-04-12T22:21:57.490028Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3451424756031953095, trigger=visual_change)\n2026-04-12T22:22:06.557939Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6096774307956840043, trigger=visual_change)\n2026-04-12T22:22:09.561968Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6096774307956840043, trigger=visual_change)\n2026-04-12T22:22:12.620628Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6096774307956840043, trigger=visual_change)\n2026-04-12T22:22:27.699475Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=4406650560182634868, trigger=visual_change)\n2026-04-12T22:22:39.836999Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=6702397966650464851, trigger=visual_change)\n2026-04-12T22:22:44.052745Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:22:54.977274Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4954038102724882870, trigger=visual_change)\n2026-04-12T22:23:04.067624Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7556556138478186125, trigger=visual_change)\n2026-04-12T22:23:22.229817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-9076293218035077076, trigger=visual_change)\n2026-04-12T22:23:28.278077Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4783981874452913338, trigger=visual_change)\n2026-04-12T22:23:34.312538Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4783981874452913338, trigger=visual_change)\n2026-04-12T22:23:40.338438Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4987736796410036352, trigger=visual_change)\n2026-04-12T22:23:43.350979Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4987736796410036352, trigger=visual_change)\n2026-04-12T22:23:49.082693Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:23:58.499624Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-763583983667788238, trigger=visual_change)\n2026-04-12T22:24:01.517862Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-763583983667788238, trigger=visual_change)\n2026-04-12T22:24:10.610720Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-528530849735058466, trigger=visual_change)\n2026-04-12T22:24:13.622839Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-528530849735058466, trigger=visual_change)\n2026-04-12T22:24:28.729718Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-268381976421465647, trigger=visual_change)\n2026-04-12T22:24:37.819714Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4292471428384779442, trigger=visual_change)\n2026-04-12T22:24:40.807487Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4292471428384779442, trigger=visual_change)\n2026-04-12T22:24:43.926970Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4292471428384779442, trigger=visual_change)\n2026-04-12T22:24:54.102622Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:24:56.037518Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1336615422496480469, trigger=visual_change)\n2026-04-12T22:25:04.994185Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-2490954796285178130, trigger=visual_change)\n\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-12T22:25:14.042201Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-6660592639383128564, trigger=visual_change)\n2026-04-12T22:25:20.906940Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=7604187256398490687, trigger=click)\n2026-04-12T22:25:35.646197Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:25:35.646180+00:00 (14d retention)\n2026-04-12T22:25:59.131708Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-12T22:30:35.546756Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:30:35.546690+00:00 (14d retention)\n2026-04-12T22:35:35.540779Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:35:35.540726+00:00 (14d retention)\n2026-04-12T22:40:35.534224Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:40:35.534197+00:00 (14d retention)\n2026-04-12T22:45:35.553749Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:45:35.553714+00:00 (14d retention)\n2026-04-12T22:50:35.547970Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:50:35.547775+00:00 (14d retention)\n2026-04-12T22:55:35.543613Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T19:55:35.543583+00:00 (14d retention)\n2026-04-12T23:00:35.530639Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:00:35.530575+00:00 (14d retention)\n2026-04-12T23:05:35.525661Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:05:35.525614+00:00 (14d retention)\n2026-04-12T23:10:35.519806Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:10:35.519766+00:00 (14d retention)\n2026-04-12T23:15:35.531767Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:15:35.531720+00:00 (14d retention)\n2026-04-12T23:20:35.528053Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:20:35.527995+00:00 (14d retention)\n2026-04-12T23:25:35.522960Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:25:35.522901+00:00 (14d retention)\n2026-04-12T23:30:35.517961Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:30:35.517905+00:00 (14d retention)\n2026-04-12T23:35:35.513125Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:35:35.513064+00:00 (14d retention)\n2026-04-12T23:40:35.509062Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:40:35.508928+00:00 (14d retention)\n2026-04-12T23:45:35.504021Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:45:35.503956+00:00 (14d retention)\n2026-04-12T23:50:35.454615Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:50:35.454592+00:00 (14d retention)\n2026-04-12T23:55:35.448748Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T20:55:35.448668+00:00 (14d retention)\n2026-04-13T00:00:35.442141Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T21:00:35.442098+00:00 (14d retention)\n2026-04-13T00:05:35.495992Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T21:05:35.495911+00:00 (14d retention)\n2026-04-13T00:10:33.704826Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-04-13T00:10:35.489255Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-29T21:10:35.489246+00:00 (14d retention)\n2026-04-13T04:35:50.292492Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:08:19.632155Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:23:13.306515Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:44:49.127855Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T09:46:08.530755Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-30T06:46:08.530742+00:00 (14d retention)\n2026-04-13T09:56:03.339024Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T10:17:58.001333Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T15:09:17.685286Z WARN screenpipe_engine::resource_monitor: PostHog request timed out\n2026-04-13T15:10:58.856201Z INFO screenpipe_engine::retention: retention: cleaning up data before 2026-03-30T12:10:58.856189+00:00 (14d retention)\n2026-04-13T15:11:08.215959Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-04-13T15:11:08.233258Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-04-13T15:11:08.258389Z INFO sck_rs::stream_manager: stopped 1 persistent stream(s)\n2026-04-13T15:11:08.584259Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps)\n2026-04-13T15:11:08.744918Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: day rollover (102 -> 103), clearing cache\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ 2026-04-13T15:11:18.351950Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-3109533011400363461, trigger=click)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.12465278,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.0,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.11215278,"top":0.05888889,"width":0.12465278,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.11631945,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.23680556,"top":0.05888889,"width":0.12465278,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.24097222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.36145833,"top":0.05888889,"width":0.12465278,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.365625,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4861111,"top":0.05888889,"width":0.124305554,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49027777,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.61041665,"top":0.05888889,"width":0.124305554,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6145833,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7347222,"top":0.05888889,"width":0.124305554,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.73888886,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Unable to access screenpipe activity data (claude)","depth":2,"bounds":{"left":0.8590278,"top":0.05888889,"width":0.124305554,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.86319447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48194444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"role_description":"text"}]...
|
-7467919186759583783
|
3073451261003252747
|
click
|
accessibility
|
NULL
|
ukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1 ukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:13.042296+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908753042_m1.jpg","id":608,"initial_traversal_at":null,"offset_index":8,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:12-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:13.042296+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":607,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg","offset_index":7,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:11.727790+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908751727_m1.jpg","id":607,"initial_traversal_at":null,"offset_index":7,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% C8Sat 11 Apr 14:59:11-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:11.727790+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":606,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg","offset_index":6,"tags":[],"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:10.057147+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908750057_m1.jpg","id":606,"initial_traversal_at":null,"offset_index":6,"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:09-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:10.057147+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":605,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg","offset_index":5,"tags":[],"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:08.370141+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908748370_m1.jpg","id":605,"initial_traversal_at":null,"offset_index":5,"text":"iTerm2ShellEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:08-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO 886-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:08.370141+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":604,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg","offset_index":4,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:06.455174+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908746455_m1.jpg","id":604,"initial_traversal_at":null,"offset_index":4,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:06-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:06.455174+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":603,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg","offset_index":3,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:05.447678+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908745447_m1.jpg","id":603,"initial_traversal_at":null,"offset_index":3,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:05-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:05.447678+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":602,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg","offset_index":2,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:03.689217+03:00","window_name":""},"type":"OCR"},{"content":{"app_name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908743689_m1.jpg","id":602,"initial_traversal_at":null,"offset_index":2,"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:03-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.]son\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.db\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\",\"timestamp\":\"2026-04-11T14:58:40.797783+03:00\",\"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\": {\"app_name\": \"'',\"browser_url\": null,\"device_name\": \"monitor_1\",\"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\": true,\"frame\": null,\"frame_id\": 589,\"frame_name\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\\\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp\": \"2026-04-11T14:58:40.295748+03:00\",\"window_name\": \"'3,\"type\": \"OCR\"\"agination\": (\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:59:03.689217+03:00","window_name":""},"type":"UI"},{"content":{"app_name":"","browser_url":null,"device_name":"monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909641076.mp4","focused":true,"frame":null,"frame_id":601,"frame_name":"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908741975_m1.jpg","offset_index":1,"tags":[],"text":"iTerm2ShelllEditViewSessionScriptsProfilesWindow Help(ahl100% <78Sat 11 Apr 14:59:01-zsh181DOCKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zsh• 84-zsh• ₴5-zshO ₴6-zsh*7129568\\ndrwxr-xr-x10 lukasstaff320 11Apr 14:52. Indrwx------+ 88 lukasstaff2816 11 Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr20:27config.json\\ndrwxr-xr-x4 lukasstaff1289 Apr 20:40 data\\n-rw-p--p--1 lukasstaff65761280 11 Apr 14:57 db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-wal\\ndrwxr-xr-x8 lukasstaff9 Apr 21:27 screenpipe.2026-04-09.0.1og\\n-rw-r--r--1 lukas staff2569 Apr 19:53 pipes\\n-rw-r--r--1 lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-11.0.1og\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe$ du -sh ~/.screenpipe/*.d...
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/Users/lukas/.screenpipe/data/data/2026-04-14/1776 /Users/lukas/.screenpipe/data/data/2026-04-14/1776168987667_m1.jpg...
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ugins","taskManager","taskManager& ugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:38Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:40Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:40Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:40Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:43Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:43Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:43Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:14:36 Running ['artisan' mailbox:skip-lists:refresh] . 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:45Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:46Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:46Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:48Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:52Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:52Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:53Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:14:44 Running ['artisan' mailbox:batch:process --max-batches=15] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:55Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:55Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:55Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:01Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:01Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:01Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:03Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:04Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:04Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 | 2026-04-14 12:14:55 Running ['artisan' conference:monitor:count] ... 9s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:06Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:07Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:07Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:08Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:10Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:10Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:11Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:13Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:13Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:13Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:16Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:16Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:16Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 | 2026-04-14 12:15:05 Running ['artisan' crm:sync-objects] Syncing objects for Salesforce Team since 2026-03-19 20:14:10
docker_lamp_1 | Syncing objects for Hubspot since 2026-04-14 11:44:15
docker_lamp_1 | Syncing objects for Edge Communications since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Burlington Textiles Corp of America since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Uber since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Vonage since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Nexmo since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for SF since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for NewAccount since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for TestV since 2026-02-17 15:05:47
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for KioskAccount since 2026-02-17 15:06:27
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Pipedrive, Inc. since 2026-04-08 18:14:13
docker_lamp_1 | Syncing objects for Copper since 2026-04-14 11:44:16
docker_lamp_1 | Syncing objects for Pipedrive External Test since 2026-04-08 18:14:16
docker_lamp_1 | Syncing objects for InsightSquared since 2026-02-17 15:09:59
docker_lamp_1 | Syncing objects for Close since 2026-04-14 11:44:17
docker_lamp_1 | Syncing objects for DeewanyAccount since 2026-02-19 13:27:51
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Aircall Demo since 2026-02-17 15:06:51
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05
docker_lamp_1 | Syncing objects for GoStudent UAT since 2026-02-17 15:09:59
docker_lamp_1 | Syncing objects for Horen test since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Ahmed Hamadi since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Ahmed Testing since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Ahmed jiminny since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for JustCall since 2026-02-17 15:07:41
docker_lamp_1 | Syncing objects for Testers Inc since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | 2026-04-14 12:15:17 Jiminny\Jobs\Crm\SyncObjectsSyncing objects for Copper Team since 2026-02-19 13:26:04
docker_lamp_1 | [PASSWORD_DOTS]Team is not yet assigned an owner. skipping...
docker_lamp_1 | RUNNING
docker_lamp_1 | Syncing objects for TheBestPlace Ever since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Horen's apartments since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for New Org Test since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Pipedrive test org since 2026-02-19 13:27:42
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for BigChairs Inc. since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for GL 500 since 2026-02-19 13:26:04
docker_lamp_1 | Syncing objects for Loren X since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Laravel Company 2024 since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Barbara Fuchs since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Twilio Video since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for My Test Account 3000 since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for test since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Test since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Test salesforce auto sync since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for test ogg auto sync since 2026-02-17 15:07:16
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Globo Tech since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Laravel 11 Company 2024 since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | 2026-04-14 12:15:18 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 386.96ms DONE
docker_lamp_1 | 2026-04-14 12:15:18 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 |
docker_lamp_1 | Error
docker_lamp_1 |
docker_lamp_1 | Call to a member function getAttribute() on null
docker_lamp_1 |
docker_lamp_1 | at app/Console/Commands/Crm/SyncObjects.php:42
docker_lamp_1 | 38▕
docker_lamp_1 | 39▕ foreach ($teams as $team) {
docker_lamp_1 | 40▕ $config = $team->getCrmConfiguration();
docker_lamp_1 | 41▕
docker_lamp_1 | ➜ 42▕ if ($config->getAttribute('sync_objects') === false) {
docker_lamp_1 | 43▕ continue;
docker_lamp_1 | 44▕ }
docker_lamp_1 | 45▕
docker_lamp_1 | 46▕ $this->info(
docker_lamp_1 |
docker_lamp_1 | 1 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36
docker_lamp_1 | Jiminny\Console\Commands\Crm\SyncObjects::handle()
docker_lamp_1 |
docker_lamp_1 | 2 vendor/laravel/framework/src/Illuminate/Container/Util.php:43
docker_lamp_1 | Illuminate\Container\BoundMethod::Illuminate\Container\{closure}()
docker_lamp_1 |
docker_lamp_1 | 3 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96
docker_lamp_1 | Illuminate\Container\Util::unwrapIfClosure(Object(Closure))
docker_lamp_1 |
docker_lamp_1 | 4 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35
docker_lamp_1 | Illuminate\Container\BoundMethod::callBoundMethod(Object(Illuminate\Foundation\Application), Object(Closure))
docker_lamp_1 |
docker_lamp_1 | 5 vendor/laravel/framework/src/Illuminate/Container/Container.php:799
docker_lamp_1 | Illuminate\Container\BoundMethod::call(Object(Illuminate\Foundation\Application), [])
docker_lamp_1 |
docker_lamp_1 | 6 vendor/laravel/framework/src/Illuminate/Console/Command.php:211
docker_lamp_1 | Illuminate\Container\Container::call()
docker_lamp_1 |
docker_lamp_1 | 7 vendor/symfony/console/Command/Command.php:341
docker_lamp_1 | Illuminate\Console\Command::execute(Object(Symfony\Component\Console\Input\ArgvInput), Object(Illuminate\Console\OutputStyle))
docker_lamp_1 |
docker_lamp_1 | 8 vendor/laravel/framework/src/Illuminate/Console/Command.php:180
docker_lamp_1 | Symfony\Component\Console\Command\Command::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Illuminate\Console\OutputStyle))
docker_lamp_1 |
docker_lamp_1 | 9 app/Console/Commands/Command.php:41
docker_lamp_1 | Illuminate\Console\Command::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 10 vendor/symfony/console/Application.php:1117
docker_lamp_1 | Jiminny\Console\Commands\Command::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 11 vendor/symfony/console/Application.php:356
docker_lamp_1 | Symfony\Component\Console\Application::doRunCommand(Object(Jiminny\Console\Commands\Crm\SyncObjects), Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 12 vendor/symfony/console/Application.php:195
docker_lamp_1 | Symfony\Component\Console\Application::doRun(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 13 vendor/laravel/framework/src/Illuminate/Foundation/Console/Kernel.php:198
docker_lamp_1 | Symfony\Component\Console\Application::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 14 vendor/laravel/framework/src/Illuminate/Foundation/Application.php:1235
docker_lamp_1 | Illuminate\Foundation\Console\Kernel::handle(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 15 artisan:13
docker_lamp_1 | Illuminate\Foundation\Application::handleCommand(Object(Symfony\Component\Console\Input\ArgvInput))
docker_lamp_1 |
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:18Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | [PASSWORD_DOTS] 13s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 896.59ms DONE
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 115.49ms DONE
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjectsrun_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | [PASSWORD_DOTS] RUNNING
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
docker_lamp_1 | 2026-04-14 12:15:20 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 2026-04-14 12:15:20 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 75.20ms DONE
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 51.77ms DONE
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:22Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:22Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 75.17ms DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 42.25ms DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 52.64ms DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:23 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 38.54ms DONE
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:23Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:25Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:25Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:25Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:31Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:31Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:31Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:33Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:34Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:34Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:36Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:37Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:37Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:38Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:40Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:40Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:41Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:43Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:43Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:43Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:46Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:46Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:46Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:48Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:51Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:52Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:52Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:53Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:55Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:55Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:56Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:01Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:01Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:01Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:03Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:04Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:04Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:06Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:07Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:07Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:08Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:10Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:10Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 |
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:11Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:13Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:13Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:13Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:17Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:17Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:17Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:18Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:21Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:16:10 Running ['artisan' meeting-bot:schedule-bot]
docker_lamp_1 | Elastica\Exception\Connection\HttpException
docker_lamp_1 |
docker_lamp_1 | Couldn't resolve host
docker_lamp_1 |
docker_lamp_1 | at vendor/ruflin/elastica/src/Transport/Http.php:186
docker_lamp_1 | 182▕ throw new PartialShardFailureException($request, $response);
docker_lamp_1 | 183▕ }
docker_lamp_1 | 184▕
docker_lamp_1 | 185▕ if ($errorNumber > 0) {
docker_lamp_1 | ➜ 186▕ throw new HttpException($errorNumber, $request, $response);
docker_lamp_1 | 187▕ }
docker_lamp_1 | 188▕
docker_lamp_1 | 189▕ return $response;
docker_lamp_1 | 190▕ }
docker_lamp_1 |
docker_lamp_1 | 1 vendor/ruflin/elastica/src/Request.php:183
docker_lamp_1 | Elastica\Transport\Http::exec(Object(Elastica\Request), [])
docker_lamp_1 |
docker_lamp_1 | 2 vendor/ruflin/elastica/src/Client.php:545
docker_lamp_1 | Elastica\Request::send()
docker_lamp_1 |
docker_lamp_1 | 3 vendor/ruflin/elastica/src/Client.php:580
docker_lamp_1 | Elastica\Client::request("activities/_doc/408704", "POST", [])
docker_lamp_1 |
docker_lamp_1 | 4 vendor/ruflin/elastica/src/Index.php:774
docker_lamp_1 | Elastica\Client::requestEndpoint(Object(Elasticsearch\Endpoints\Index))
docker_lamp_1 |
docker_lamp_1 | 5 vendor/ruflin/elastica/src/Index.php:241
docker_lamp_1 | Elastica\Index::requestEndpoint(Object(Elasticsearch\Endpoints\Index))
docker_lamp_1 |
docker_lamp_1 | 6 app/Component/ES/Actions/InstantUpsertAction.php:52
docker_lamp_1 | Elastica\Index::addDocument(Object(Elasti...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"ugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:38Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:14:36 Running ['artisan' mailbox:skip-lists:refresh] . 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:45Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:46Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:48Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:52Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:53Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:14:44 Running ['artisan' mailbox:batch:process --max-batches=15] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:03Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:04Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | 2026-04-14 12:14:55 Running ['artisan' conference:monitor:count] ... 9s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:06Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:07Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:08Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:10Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:11Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | 2026-04-14 12:15:05 Running ['artisan' crm:sync-objects] Syncing objects for Salesforce Team since 2026-03-19 20:14:10\ndocker_lamp_1 | Syncing objects for Hubspot since 2026-04-14 11:44:15\ndocker_lamp_1 | Syncing objects for Edge Communications since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Burlington Textiles Corp of America since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Uber since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Vonage since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Nexmo since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for SF since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for NewAccount since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for TestV since 2026-02-17 15:05:47\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for KioskAccount since 2026-02-17 15:06:27\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Pipedrive, Inc. since 2026-04-08 18:14:13\ndocker_lamp_1 | Syncing objects for Copper since 2026-04-14 11:44:16\ndocker_lamp_1 | Syncing objects for Pipedrive External Test since 2026-04-08 18:14:16\ndocker_lamp_1 | Syncing objects for InsightSquared since 2026-02-17 15:09:59\ndocker_lamp_1 | Syncing objects for Close since 2026-04-14 11:44:17\ndocker_lamp_1 | Syncing objects for DeewanyAccount since 2026-02-19 13:27:51\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Aircall Demo since 2026-02-17 15:06:51\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05\ndocker_lamp_1 | Syncing objects for GoStudent UAT since 2026-02-17 15:09:59\ndocker_lamp_1 | Syncing objects for Horen test since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Ahmed Hamadi since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Ahmed Testing since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Ahmed jiminny since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for JustCall since 2026-02-17 15:07:41\ndocker_lamp_1 | Syncing objects for Testers Inc since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | 2026-04-14 12:15:17 Jiminny\\Jobs\\Crm\\SyncObjectsSyncing objects for Copper Team since 2026-02-19 13:26:04\ndocker_lamp_1 | ...................Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | RUNNING\ndocker_lamp_1 | Syncing objects for TheBestPlace Ever since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Horen's apartments since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for New Org Test since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Pipedrive test org since 2026-02-19 13:27:42\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for BigChairs Inc. since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for GL 500 since 2026-02-19 13:26:04\ndocker_lamp_1 | Syncing objects for Loren X since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Laravel Company 2024 since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Barbara Fuchs since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Twilio Video since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for My Test Account 3000 since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for test since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Test since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Test salesforce auto sync since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for test ogg auto sync since 2026-02-17 15:07:16\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Globo Tech since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Laravel 11 Company 2024 since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | 2026-04-14 12:15:18 Jiminny\\Jobs\\Crm\\SyncObjects ............. 386.96ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:18 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | \ndocker_lamp_1 | Error \ndocker_lamp_1 | \ndocker_lamp_1 | Call to a member function getAttribute() on null\ndocker_lamp_1 | \ndocker_lamp_1 | at app/Console/Commands/Crm/SyncObjects.php:42\ndocker_lamp_1 | 38▕ \ndocker_lamp_1 | 39▕ foreach ($teams as $team) {\ndocker_lamp_1 | 40▕ $config = $team->getCrmConfiguration();\ndocker_lamp_1 | 41▕ \ndocker_lamp_1 | ➜ 42▕ if ($config->getAttribute('sync_objects') === false) {\ndocker_lamp_1 | 43▕ continue;\ndocker_lamp_1 | 44▕ }\ndocker_lamp_1 | 45▕ \ndocker_lamp_1 | 46▕ $this->info(\ndocker_lamp_1 | \ndocker_lamp_1 | 1 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36\ndocker_lamp_1 | Jiminny\\Console\\Commands\\Crm\\SyncObjects::handle()\ndocker_lamp_1 | \ndocker_lamp_1 | 2 vendor/laravel/framework/src/Illuminate/Container/Util.php:43\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::Illuminate\\Container\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 3 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96\ndocker_lamp_1 | Illuminate\\Container\\Util::unwrapIfClosure(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 4 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::callBoundMethod(Object(Illuminate\\Foundation\\Application), Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 5 vendor/laravel/framework/src/Illuminate/Container/Container.php:799\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::call(Object(Illuminate\\Foundation\\Application), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 6 vendor/laravel/framework/src/Illuminate/Console/Command.php:211\ndocker_lamp_1 | Illuminate\\Container\\Container::call()\ndocker_lamp_1 | \ndocker_lamp_1 | 7 vendor/symfony/console/Command/Command.php:341\ndocker_lamp_1 | Illuminate\\Console\\Command::execute(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 8 vendor/laravel/framework/src/Illuminate/Console/Command.php:180\ndocker_lamp_1 | Symfony\\Component\\Console\\Command\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 9 app/Console/Commands/Command.php:41\ndocker_lamp_1 | Illuminate\\Console\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 10 vendor/symfony/console/Application.php:1117\ndocker_lamp_1 | Jiminny\\Console\\Commands\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 11 vendor/symfony/console/Application.php:356\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRunCommand(Object(Jiminny\\Console\\Commands\\Crm\\SyncObjects), Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 12 vendor/symfony/console/Application.php:195\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRun(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 13 vendor/laravel/framework/src/Illuminate/Foundation/Console/Kernel.php:198\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 14 vendor/laravel/framework/src/Illuminate/Foundation/Application.php:1235\ndocker_lamp_1 | Illuminate\\Foundation\\Console\\Kernel::handle(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 15 artisan:13\ndocker_lamp_1 | Illuminate\\Foundation\\Application::handleCommand(Object(Symfony\\Component\\Console\\Input\\ArgvInput))\ndocker_lamp_1 | \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:18Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | .......... 13s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjects ............. 896.59ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjects ............. 115.49ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjectsrun_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | ................... RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\ndocker_lamp_1 | 2026-04-14 12:15:20 Jiminny\\Jobs\\Crm\\SyncObjects ................... 1s DONE\ndocker_lamp_1 | 2026-04-14 12:15:20 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects .............. 75.20ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects .............. 51.77ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:22Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... 1s DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects .............. 75.17ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects .............. 42.25ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects .............. 52.64ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:23 Jiminny\\Jobs\\Crm\\SyncObjects .............. 38.54ms DONE\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:23Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:33Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:34Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:34Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:34Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:36Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:37Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:37Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:37Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:38Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:40Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:41Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:48Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:51Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:52Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:53Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:55Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:56Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:03Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:04Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:06Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:07Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:08Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:10Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:11Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:18Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:21Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:16:10 Running ['artisan' meeting-bot:schedule-bot] \ndocker_lamp_1 | Elastica\\Exception\\Connection\\HttpException \ndocker_lamp_1 | \ndocker_lamp_1 | Couldn't resolve host\ndocker_lamp_1 | \ndocker_lamp_1 | at vendor/ruflin/elastica/src/Transport/Http.php:186\ndocker_lamp_1 | 182▕ throw new PartialShardFailureException($request, $response);\ndocker_lamp_1 | 183▕ }\ndocker_lamp_1 | 184▕ \ndocker_lamp_1 | 185▕ if ($errorNumber > 0) {\ndocker_lamp_1 | ➜ 186▕ throw new HttpException($errorNumber, $request, $response);\ndocker_lamp_1 | 187▕ }\ndocker_lamp_1 | 188▕ \ndocker_lamp_1 | 189▕ return $response;\ndocker_lamp_1 | 190▕ }\ndocker_lamp_1 | \ndocker_lamp_1 | 1 vendor/ruflin/elastica/src/Request.php:183\ndocker_lamp_1 | Elastica\\Transport\\Http::exec(Object(Elastica\\Request), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 2 vendor/ruflin/elastica/src/Client.php:545\ndocker_lamp_1 | Elastica\\Request::send()\ndocker_lamp_1 | \ndocker_lamp_1 | 3 vendor/ruflin/elastica/src/Client.php:580\ndocker_lamp_1 | Elastica\\Client::request(\"activities/_doc/408704\", \"POST\", [])\ndocker_lamp_1 | \ndocker_lamp_1 | 4 vendor/ruflin/elastica/src/Index.php:774\ndocker_lamp_1 | Elastica\\Client::requestEndpoint(Object(Elasticsearch\\Endpoints\\Index))\ndocker_lamp_1 | \ndocker_lamp_1 | 5 vendor/ruflin/elastica/src/Index.php:241\ndocker_lamp_1 | Elastica\\Index::requestEndpoint(Object(Elasticsearch\\Endpoints\\Index))\ndocker_lamp_1 | \ndocker_lamp_1 | 6 app/Component/ES/Actions/InstantUpsertAction.php:52\ndocker_lamp_1 | Elastica\\Index::addDocument(Object(Elastica\\Document))\ndocker_lamp_1 | \ndocker_lamp_1 | 7 app/Component/Datadog/Client.php:20\ndocker_lamp_1 | Jiminny\\Component\\ES\\Actions\\InstantUpsertAction::Jiminny\\Component\\ES\\Actions\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 8 app/Component/ES/Actions/InstantUpsertAction.php:51\ndocker_lamp_1 | Jiminny\\Component\\Datadog\\Client::withTiming(Object(Closure), \"jiminny.elasticsearch.refresh.waiting_time\")\ndocker_lamp_1 | \ndocker_lamp_1 | 9 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36\ndocker_lamp_1 | Jiminny\\Component\\ES\\Actions\\InstantUpsertAction::handle(Object(Illuminate\\Log\\LogManager), Object(Jiminny\\Component\\Datadog\\Client), Object(Jiminny\\Component\\ElasticSearch\\Client))\ndocker_lamp_1 | \ndocker_lamp_1 | 10 vendor/laravel/framework/src/Illuminate/Container/Util.php:43\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::Illuminate\\Container\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 11 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96\ndocker_lamp_1 | Illuminate\\Container\\Util::unwrapIfClosure(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 12 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::callBoundMethod(Object(Illuminate\\Foundation\\Application), Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 13 vendor/laravel/framework/src/Illuminate/Container/Container.php:799\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::call(Object(Illuminate\\Foundation\\Application), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 14 vendor/laravel/framework/src/Illuminate/Bus/Dispatcher.php:129\ndocker_lamp_1 | Illuminate\\Container\\Container::call()\ndocker_lamp_1 | \ndocker_lamp_1 | 15 vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:180\ndocker_lamp_1 | Illuminate\\Bus\\Dispatcher::Illuminate\\Bus\\{closure}(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 16 vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:137\ndocker_lamp_1 | Illuminate\\Pipeline\\Pipeline::Illuminate\\Pipeline\\{closure}(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 17 vendor/laravel/framework/src/Illuminate/Bus/Dispatcher.php:133\ndocker_lamp_1 | Illuminate\\Pipeline\\Pipeline::then(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 18 vendor/laravel/framework/src/Illuminate/Bus/Dispatcher.php:81\ndocker_lamp_1 | Illuminate\\Bus\\Dispatcher::dispatchNow(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 19 app/Component/ES/Listeners/UpdateSingleTargetListener.php:52\ndocker_lamp_1 | Illuminate\\Bus\\Dispatcher::dispatch(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 20 app/Component/ES/Listeners/UpdateSingleTargetListener.php:34\ndocker_lamp_1 | Jiminny\\Component\\ES\\Listeners\\UpdateSingleTargetListener::handleSyncEvent(Object(Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity))\ndocker_lamp_1 | \ndocker_lamp_1 | 21 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:512\ndocker_lamp_1 | Jiminny\\Component\\ES\\Listeners\\UpdateSingleTargetListener::handle(Object(Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity))\ndocker_lamp_1 | \ndocker_lamp_1 | 22 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:319\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::Illuminate\\Events\\{closure}(\"Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 23 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:299\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::invokeListeners(\"Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 24 vendor/laravel/framework/src/Illuminate/Foundation/helpers.php:505\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::dispatch(Object(Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity))\ndocker_lamp_1 | 25 app/Component/ElasticSearch/Model/Observer.php:71\ndocker_lamp_1 | \ndocker_lamp_1 | 26 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:512\ndocker_lamp_1 | Jiminny\\Component\\ElasticSearch\\Model\\Observer::saved(Object(Jiminny\\Models\\Activity))\ndocker_lamp_1 | \ndocker_lamp_1 | 27 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:319\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::Illuminate\\Events\\{closure}(\"eloquent.saved: Jiminny\\Models\\Activity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 28 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:299\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::invokeListeners(\"eloquent.saved: Jiminny\\Models\\Activity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 29 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Concerns/HasEvents.php:224\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::dispatch(\"eloquent.saved: Jiminny\\Models\\Activity\", Object(Jiminny\\Models\\Activity))\ndocker_lamp_1 | \ndocker_lamp_1 | 30 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Model.php:1279\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::fireModelEvent(\"saved\")\ndocker_lamp_1 | \ndocker_lamp_1 | 31 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Model.php:1252\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::finishSave([])\ndocker_lamp_1 | \ndocker_lamp_1 | 32 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Model.php:1090\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::save([])\ndocker_lamp_1 | \ndocker_lamp_1 | 33 app/Services/RecallAI/Commands/ScheduleBotCommand.php:94\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::update([\"failed\"])\ndocker_lamp_1 | \ndocker_lamp_1 | 34 app/Services/RecallAI/Commands/ScheduleBotCommand.php:39\ndocker_lamp_1 | Jiminny\\Services\\RecallAI\\Commands\\ScheduleBotCommand::scheduleBotsForUpcomingConferences()\ndocker_lamp_1 | \ndocker_lamp_1 | 35 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36\ndocker_lamp_1 | Jiminny\\Services\\RecallAI\\Commands\\ScheduleBotCommand::handle()\ndocker_lamp_1 | \ndocker_lamp_1 | 36 vendor/laravel/framework/src/Illuminate/Container/Util.php:43\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::Illuminate\\Container\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 37 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96\ndocker_lamp_1 | Illuminate\\Container\\Util::unwrapIfClosure(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 38 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::callBoundMethod(Object(Illuminate\\Foundation\\Application), Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 39 vendor/laravel/framework/src/Illuminate/Container/Container.php:799\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::call(Object(Illuminate\\Foundation\\Application), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 40 vendor/laravel/framework/src/Illuminate/Console/Command.php:211\ndocker_lamp_1 | Illuminate\\Container\\Container::call()\ndocker_lamp_1 | \ndocker_lamp_1 | 41 vendor/symfony/console/Command/Command.php:341\ndocker_lamp_1 | Illuminate\\Console\\Command::execute(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 42 vendor/laravel/framework/src/Illuminate/Console/Command.php:180\ndocker_lamp_1 | Symfony\\Component\\Console\\Command\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 43 app/Console/Commands/Command.php:41\ndocker_lamp_1 | Illuminate\\Console\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 44 vendor/symfony/console/Application.php:1117\ndocker_lamp_1 | Jiminny\\Console\\Commands\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 45 vendor/symfony/console/Application.php:356\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRunCommand(Object(Jiminny\\Services\\RecallAI\\Commands\\ScheduleBotCommand), Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 46 vendor/symfony/console/Application.php:195\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRun(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 47 vendor/laravel/framework/src/Illuminate/Foundation/Console/Kernel.php:198\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 48 vendor/laravel/framework/src/Illuminate/Foundation/Application.php:1235\ndocker_lamp_1 | Illuminate\\Foundation\\Console\\Kernel::handle(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 49 artisan:13\ndocker_lamp_1 | Illuminate\\Foundation\\Application::handleCommand(Object(Symfony\\Component\\Console\\Input\\ArgvInput))\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-14 12:16:22 Jiminny\\Events\\Activities\\StatusUpdated ........ RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:22Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | .. 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-14 12:16:22 Running ['artisan' dialers:monitor-activities] 2026-04-14 12:16:23 Jiminny\\Events\\Activities\\StatusUpdated ........ 1s DONE\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:23Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:25Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:26Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\n\n\nv View in Docker Desktop o View Config w Enable Watch","depth":4,"bounds":{"left":0.0,"top":0.112222224,"width":0.4888889,"height":0.8877778},"value":"ugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:38Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:40Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:43Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:14:36 Running ['artisan' mailbox:skip-lists:refresh] . 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:45Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:46Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:48Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:49Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:50Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:52Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:53Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:14:44 Running ['artisan' mailbox:batch:process --max-batches=15] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:55Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:14:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:01Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:03Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:04Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | 2026-04-14 12:14:55 Running ['artisan' conference:monitor:count] ... 9s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:06Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:07Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:08Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:10Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:11Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:13Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:16Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | 2026-04-14 12:15:05 Running ['artisan' crm:sync-objects] Syncing objects for Salesforce Team since 2026-03-19 20:14:10\ndocker_lamp_1 | Syncing objects for Hubspot since 2026-04-14 11:44:15\ndocker_lamp_1 | Syncing objects for Edge Communications since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Burlington Textiles Corp of America since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Uber since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Vonage since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Nexmo since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for SF since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for NewAccount since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for TestV since 2026-02-17 15:05:47\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for KioskAccount since 2026-02-17 15:06:27\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Pipedrive, Inc. since 2026-04-08 18:14:13\ndocker_lamp_1 | Syncing objects for Copper since 2026-04-14 11:44:16\ndocker_lamp_1 | Syncing objects for Pipedrive External Test since 2026-04-08 18:14:16\ndocker_lamp_1 | Syncing objects for InsightSquared since 2026-02-17 15:09:59\ndocker_lamp_1 | Syncing objects for Close since 2026-04-14 11:44:17\ndocker_lamp_1 | Syncing objects for DeewanyAccount since 2026-02-19 13:27:51\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Aircall Demo since 2026-02-17 15:06:51\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05\ndocker_lamp_1 | Syncing objects for GoStudent UAT since 2026-02-17 15:09:59\ndocker_lamp_1 | Syncing objects for Horen test since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Ahmed Hamadi since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Ahmed Testing since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Ahmed jiminny since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for JustCall since 2026-02-17 15:07:41\ndocker_lamp_1 | Syncing objects for Testers Inc since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | 2026-04-14 12:15:17 Jiminny\\Jobs\\Crm\\SyncObjectsSyncing objects for Copper Team since 2026-02-19 13:26:04\ndocker_lamp_1 | ...................Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | RUNNING\ndocker_lamp_1 | Syncing objects for TheBestPlace Ever since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Horen's apartments since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for New Org Test since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Pipedrive test org since 2026-02-19 13:27:42\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for BigChairs Inc. since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for GL 500 since 2026-02-19 13:26:04\ndocker_lamp_1 | Syncing objects for Loren X since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Laravel Company 2024 since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Barbara Fuchs since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Twilio Video since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for My Test Account 3000 since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for test since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Test since 2026-02-17 15:09:59\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Test salesforce auto sync since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for test ogg auto sync since 2026-02-17 15:07:16\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Globo Tech since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | Syncing objects for Laravel 11 Company 2024 since 2026-02-19 13:26:04\ndocker_lamp_1 | Team is not yet assigned an owner. skipping...\ndocker_lamp_1 | 2026-04-14 12:15:18 Jiminny\\Jobs\\Crm\\SyncObjects ............. 386.96ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:18 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | \ndocker_lamp_1 | Error \ndocker_lamp_1 | \ndocker_lamp_1 | Call to a member function getAttribute() on null\ndocker_lamp_1 | \ndocker_lamp_1 | at app/Console/Commands/Crm/SyncObjects.php:42\ndocker_lamp_1 | 38▕ \ndocker_lamp_1 | 39▕ foreach ($teams as $team) {\ndocker_lamp_1 | 40▕ $config = $team->getCrmConfiguration();\ndocker_lamp_1 | 41▕ \ndocker_lamp_1 | ➜ 42▕ if ($config->getAttribute('sync_objects') === false) {\ndocker_lamp_1 | 43▕ continue;\ndocker_lamp_1 | 44▕ }\ndocker_lamp_1 | 45▕ \ndocker_lamp_1 | 46▕ $this->info(\ndocker_lamp_1 | \ndocker_lamp_1 | 1 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36\ndocker_lamp_1 | Jiminny\\Console\\Commands\\Crm\\SyncObjects::handle()\ndocker_lamp_1 | \ndocker_lamp_1 | 2 vendor/laravel/framework/src/Illuminate/Container/Util.php:43\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::Illuminate\\Container\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 3 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96\ndocker_lamp_1 | Illuminate\\Container\\Util::unwrapIfClosure(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 4 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::callBoundMethod(Object(Illuminate\\Foundation\\Application), Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 5 vendor/laravel/framework/src/Illuminate/Container/Container.php:799\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::call(Object(Illuminate\\Foundation\\Application), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 6 vendor/laravel/framework/src/Illuminate/Console/Command.php:211\ndocker_lamp_1 | Illuminate\\Container\\Container::call()\ndocker_lamp_1 | \ndocker_lamp_1 | 7 vendor/symfony/console/Command/Command.php:341\ndocker_lamp_1 | Illuminate\\Console\\Command::execute(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 8 vendor/laravel/framework/src/Illuminate/Console/Command.php:180\ndocker_lamp_1 | Symfony\\Component\\Console\\Command\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 9 app/Console/Commands/Command.php:41\ndocker_lamp_1 | Illuminate\\Console\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 10 vendor/symfony/console/Application.php:1117\ndocker_lamp_1 | Jiminny\\Console\\Commands\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 11 vendor/symfony/console/Application.php:356\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRunCommand(Object(Jiminny\\Console\\Commands\\Crm\\SyncObjects), Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 12 vendor/symfony/console/Application.php:195\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRun(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 13 vendor/laravel/framework/src/Illuminate/Foundation/Console/Kernel.php:198\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 14 vendor/laravel/framework/src/Illuminate/Foundation/Application.php:1235\ndocker_lamp_1 | Illuminate\\Foundation\\Console\\Kernel::handle(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 15 artisan:13\ndocker_lamp_1 | Illuminate\\Foundation\\Application::handleCommand(Object(Symfony\\Component\\Console\\Input\\ArgvInput))\ndocker_lamp_1 | \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:18Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | .......... 13s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-objects > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjects ............. 896.59ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjects ............. 115.49ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:19 Jiminny\\Jobs\\Crm\\SyncObjectsrun_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | ................... RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:19Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\ndocker_lamp_1 | 2026-04-14 12:15:20 Jiminny\\Jobs\\Crm\\SyncObjects ................... 1s DONE\ndocker_lamp_1 | 2026-04-14 12:15:20 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:20Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects .............. 75.20ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects .............. 51.77ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:21 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:22Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... 1s DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects .............. 75.17ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects .............. 42.25ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects .............. 52.64ms DONE\ndocker_lamp_1 | 2026-04-14 12:15:22 Jiminny\\Jobs\\Crm\\SyncObjects ................... RUNNING\ndocker_lamp_1 | 2026-04-14 12:15:23 Jiminny\\Jobs\\Crm\\SyncObjects .............. 38.54ms DONE\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:23Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:25Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:28Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:31Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:33Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:34Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:34Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:34Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:36Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:37Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:37Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:37Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:38Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:40Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:40Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:41Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:43Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:46Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:48Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:49Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:50Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:51Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:52Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:52Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:53Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:55Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:55Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:56Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:15:58Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:01Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:03Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:04Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:04Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:06Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:07Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:07Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:08Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:10Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:10Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | \nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:11Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:13Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:17Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:18Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"error\",\"plugins\",\"reporting\",\"esqueue\",\"queue-worker\",\"error\"],\"pid\":7,\"message\":\"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\\n at process._tickCallback (internal/process/next_tick.js:61:11)\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:19Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"elasticsearch\",\"monitoring\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:20Z\",\"tags\":[\"warning\",\"plugins\",\"licensing\"],\"pid\":7,\"message\":\"License information could not be obtained from Elasticsearch due to Error: No Living connections error\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:21Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\ndocker_lamp_1 | 2026-04-14 12:16:10 Running ['artisan' meeting-bot:schedule-bot] \ndocker_lamp_1 | Elastica\\Exception\\Connection\\HttpException \ndocker_lamp_1 | \ndocker_lamp_1 | Couldn't resolve host\ndocker_lamp_1 | \ndocker_lamp_1 | at vendor/ruflin/elastica/src/Transport/Http.php:186\ndocker_lamp_1 | 182▕ throw new PartialShardFailureException($request, $response);\ndocker_lamp_1 | 183▕ }\ndocker_lamp_1 | 184▕ \ndocker_lamp_1 | 185▕ if ($errorNumber > 0) {\ndocker_lamp_1 | ➜ 186▕ throw new HttpException($errorNumber, $request, $response);\ndocker_lamp_1 | 187▕ }\ndocker_lamp_1 | 188▕ \ndocker_lamp_1 | 189▕ return $response;\ndocker_lamp_1 | 190▕ }\ndocker_lamp_1 | \ndocker_lamp_1 | 1 vendor/ruflin/elastica/src/Request.php:183\ndocker_lamp_1 | Elastica\\Transport\\Http::exec(Object(Elastica\\Request), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 2 vendor/ruflin/elastica/src/Client.php:545\ndocker_lamp_1 | Elastica\\Request::send()\ndocker_lamp_1 | \ndocker_lamp_1 | 3 vendor/ruflin/elastica/src/Client.php:580\ndocker_lamp_1 | Elastica\\Client::request(\"activities/_doc/408704\", \"POST\", [])\ndocker_lamp_1 | \ndocker_lamp_1 | 4 vendor/ruflin/elastica/src/Index.php:774\ndocker_lamp_1 | Elastica\\Client::requestEndpoint(Object(Elasticsearch\\Endpoints\\Index))\ndocker_lamp_1 | \ndocker_lamp_1 | 5 vendor/ruflin/elastica/src/Index.php:241\ndocker_lamp_1 | Elastica\\Index::requestEndpoint(Object(Elasticsearch\\Endpoints\\Index))\ndocker_lamp_1 | \ndocker_lamp_1 | 6 app/Component/ES/Actions/InstantUpsertAction.php:52\ndocker_lamp_1 | Elastica\\Index::addDocument(Object(Elastica\\Document))\ndocker_lamp_1 | \ndocker_lamp_1 | 7 app/Component/Datadog/Client.php:20\ndocker_lamp_1 | Jiminny\\Component\\ES\\Actions\\InstantUpsertAction::Jiminny\\Component\\ES\\Actions\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 8 app/Component/ES/Actions/InstantUpsertAction.php:51\ndocker_lamp_1 | Jiminny\\Component\\Datadog\\Client::withTiming(Object(Closure), \"jiminny.elasticsearch.refresh.waiting_time\")\ndocker_lamp_1 | \ndocker_lamp_1 | 9 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36\ndocker_lamp_1 | Jiminny\\Component\\ES\\Actions\\InstantUpsertAction::handle(Object(Illuminate\\Log\\LogManager), Object(Jiminny\\Component\\Datadog\\Client), Object(Jiminny\\Component\\ElasticSearch\\Client))\ndocker_lamp_1 | \ndocker_lamp_1 | 10 vendor/laravel/framework/src/Illuminate/Container/Util.php:43\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::Illuminate\\Container\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 11 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96\ndocker_lamp_1 | Illuminate\\Container\\Util::unwrapIfClosure(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 12 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::callBoundMethod(Object(Illuminate\\Foundation\\Application), Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 13 vendor/laravel/framework/src/Illuminate/Container/Container.php:799\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::call(Object(Illuminate\\Foundation\\Application), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 14 vendor/laravel/framework/src/Illuminate/Bus/Dispatcher.php:129\ndocker_lamp_1 | Illuminate\\Container\\Container::call()\ndocker_lamp_1 | \ndocker_lamp_1 | 15 vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:180\ndocker_lamp_1 | Illuminate\\Bus\\Dispatcher::Illuminate\\Bus\\{closure}(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 16 vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:137\ndocker_lamp_1 | Illuminate\\Pipeline\\Pipeline::Illuminate\\Pipeline\\{closure}(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 17 vendor/laravel/framework/src/Illuminate/Bus/Dispatcher.php:133\ndocker_lamp_1 | Illuminate\\Pipeline\\Pipeline::then(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 18 vendor/laravel/framework/src/Illuminate/Bus/Dispatcher.php:81\ndocker_lamp_1 | Illuminate\\Bus\\Dispatcher::dispatchNow(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 19 app/Component/ES/Listeners/UpdateSingleTargetListener.php:52\ndocker_lamp_1 | Illuminate\\Bus\\Dispatcher::dispatch(Object(Jiminny\\Component\\ES\\Actions\\InstantUpsertAction))\ndocker_lamp_1 | \ndocker_lamp_1 | 20 app/Component/ES/Listeners/UpdateSingleTargetListener.php:34\ndocker_lamp_1 | Jiminny\\Component\\ES\\Listeners\\UpdateSingleTargetListener::handleSyncEvent(Object(Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity))\ndocker_lamp_1 | \ndocker_lamp_1 | 21 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:512\ndocker_lamp_1 | Jiminny\\Component\\ES\\Listeners\\UpdateSingleTargetListener::handle(Object(Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity))\ndocker_lamp_1 | \ndocker_lamp_1 | 22 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:319\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::Illuminate\\Events\\{closure}(\"Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 23 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:299\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::invokeListeners(\"Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 24 vendor/laravel/framework/src/Illuminate/Foundation/helpers.php:505\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::dispatch(Object(Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity))\ndocker_lamp_1 | 25 app/Component/ElasticSearch/Model/Observer.php:71\ndocker_lamp_1 | \ndocker_lamp_1 | 26 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:512\ndocker_lamp_1 | Jiminny\\Component\\ElasticSearch\\Model\\Observer::saved(Object(Jiminny\\Models\\Activity))\ndocker_lamp_1 | \ndocker_lamp_1 | 27 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:319\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::Illuminate\\Events\\{closure}(\"eloquent.saved: Jiminny\\Models\\Activity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 28 vendor/laravel/framework/src/Illuminate/Events/Dispatcher.php:299\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::invokeListeners(\"eloquent.saved: Jiminny\\Models\\Activity\")\ndocker_lamp_1 | \ndocker_lamp_1 | 29 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Concerns/HasEvents.php:224\ndocker_lamp_1 | Illuminate\\Events\\Dispatcher::dispatch(\"eloquent.saved: Jiminny\\Models\\Activity\", Object(Jiminny\\Models\\Activity))\ndocker_lamp_1 | \ndocker_lamp_1 | 30 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Model.php:1279\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::fireModelEvent(\"saved\")\ndocker_lamp_1 | \ndocker_lamp_1 | 31 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Model.php:1252\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::finishSave([])\ndocker_lamp_1 | \ndocker_lamp_1 | 32 vendor/laravel/framework/src/Illuminate/Database/Eloquent/Model.php:1090\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::save([])\ndocker_lamp_1 | \ndocker_lamp_1 | 33 app/Services/RecallAI/Commands/ScheduleBotCommand.php:94\ndocker_lamp_1 | Illuminate\\Database\\Eloquent\\Model::update([\"failed\"])\ndocker_lamp_1 | \ndocker_lamp_1 | 34 app/Services/RecallAI/Commands/ScheduleBotCommand.php:39\ndocker_lamp_1 | Jiminny\\Services\\RecallAI\\Commands\\ScheduleBotCommand::scheduleBotsForUpcomingConferences()\ndocker_lamp_1 | \ndocker_lamp_1 | 35 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36\ndocker_lamp_1 | Jiminny\\Services\\RecallAI\\Commands\\ScheduleBotCommand::handle()\ndocker_lamp_1 | \ndocker_lamp_1 | 36 vendor/laravel/framework/src/Illuminate/Container/Util.php:43\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::Illuminate\\Container\\{closure}()\ndocker_lamp_1 | \ndocker_lamp_1 | 37 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96\ndocker_lamp_1 | Illuminate\\Container\\Util::unwrapIfClosure(Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 38 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::callBoundMethod(Object(Illuminate\\Foundation\\Application), Object(Closure))\ndocker_lamp_1 | \ndocker_lamp_1 | 39 vendor/laravel/framework/src/Illuminate/Container/Container.php:799\ndocker_lamp_1 | Illuminate\\Container\\BoundMethod::call(Object(Illuminate\\Foundation\\Application), [])\ndocker_lamp_1 | \ndocker_lamp_1 | 40 vendor/laravel/framework/src/Illuminate/Console/Command.php:211\ndocker_lamp_1 | Illuminate\\Container\\Container::call()\ndocker_lamp_1 | \ndocker_lamp_1 | 41 vendor/symfony/console/Command/Command.php:341\ndocker_lamp_1 | Illuminate\\Console\\Command::execute(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 42 vendor/laravel/framework/src/Illuminate/Console/Command.php:180\ndocker_lamp_1 | Symfony\\Component\\Console\\Command\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Illuminate\\Console\\OutputStyle))\ndocker_lamp_1 | \ndocker_lamp_1 | 43 app/Console/Commands/Command.php:41\ndocker_lamp_1 | Illuminate\\Console\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 44 vendor/symfony/console/Application.php:1117\ndocker_lamp_1 | Jiminny\\Console\\Commands\\Command::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 45 vendor/symfony/console/Application.php:356\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRunCommand(Object(Jiminny\\Services\\RecallAI\\Commands\\ScheduleBotCommand), Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 46 vendor/symfony/console/Application.php:195\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::doRun(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 47 vendor/laravel/framework/src/Illuminate/Foundation/Console/Kernel.php:198\ndocker_lamp_1 | Symfony\\Component\\Console\\Application::run(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 48 vendor/laravel/framework/src/Illuminate/Foundation/Application.php:1235\ndocker_lamp_1 | Illuminate\\Foundation\\Console\\Kernel::handle(Object(Symfony\\Component\\Console\\Input\\ArgvInput), Object(Symfony\\Component\\Console\\Output\\ConsoleOutput))\ndocker_lamp_1 | \ndocker_lamp_1 | 49 artisan:13\ndocker_lamp_1 | Illuminate\\Foundation\\Application::handleCommand(Object(Symfony\\Component\\Console\\Input\\ArgvInput))\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-14 12:16:22 Jiminny\\Events\\Activities\\StatusUpdated ........ RUNNING\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:22Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:22Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\ndocker_lamp_1 | .. 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-14 12:16:22 Running ['artisan' dialers:monitor-activities] 2026-04-14 12:16:23 Jiminny\\Events\\Activities\\StatusUpdated ........ 1s DONE\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:23Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"Unable to revive connection: http://elasticsearch:9200/\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:25Z\",\"tags\":[\"warning\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"No living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:25Z\",\"tags\":[\"error\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":7,\"message\":\"Failed to poll for work: Error: No Living connections\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-14T12:16:26Z\",\"tags\":[\"error\",\"elasticsearch\",\"data\"],\"pid\":7,\"message\":\"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200\"}\n\n\nv View in Docker Desktop o View Config w Enable Watch","is_focused":true},{"role":"AXButton","text":"Menu","depth":3,"bounds":{"left":0.48472223,"top":0.08944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥1 DOCKER (docker-compose)","depth":3,"bounds":{"left":0.01875,"top":0.09,"width":0.4625,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Sat Apr 11 11:13:58 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code:","depth":5,"bounds":{"left":0.5,"top":0.072222225,"width":0.48958334,"height":0.16222222},"value":"Last login: Sat Apr 11 11:13:58 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code:","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.08944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥2 PROD (ssh)","depth":4,"bounds":{"left":0.51875,"top":0.09,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Sat Apr 11 11:13:58 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5,"top":0.26222223,"width":0.48958334,"height":0.14222223},"value":"Last login: Sat Apr 11 11:13:58 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.23944445,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥3 EU (-zsh)","depth":4,"bounds":{"left":0.51875,"top":0.24,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Sat Apr 11 11:13:58 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\nssh: connect to host jiminny-stage-bastion port 22: Operation timed out\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\n(lukas@jiminny-stage-bastion) Verification code: \n(lukas@jiminny-stage-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 14 07:48:08 UTC 2026\n\n System load: 0.08 Processes: 113\n Usage of /: 59.1% of 7.57GB Users logged in: 1\n Memory usage: 35% IPv4 address for ens5: 10.30.46.154\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n80 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Thu Apr 9 14:04:46 2026 from 212.5.153.87\nlukas@jiminny-stage-bastion:~$","depth":5,"value":"Last login: Sat Apr 11 11:13:58 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\nssh: connect to host jiminny-stage-bastion port 22: Operation timed out\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\n(lukas@jiminny-stage-bastion) Verification code: \n(lukas@jiminny-stage-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 14 07:48:08 UTC 2026\n\n System load: 0.08 Processes: 113\n Usage of /: 59.1% of 7.57GB Users logged in: 1\n Memory usage: 35% IPv4 address for ens5: 10.30.46.154\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n80 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Thu Apr 9 14:04:46 2026 from 212.5.153.87\nlukas@jiminny-stage-bastion:~$","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.40944445,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥4 STAGE (ssh)","depth":4,"bounds":{"left":0.51875,"top":0.41,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Sat Apr 11 12:38:35 on ttys003\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5,"top":0.5822222,"width":0.48958334,"height":0.12222222},"value":"Last login: Sat Apr 11 12:38:35 on ttys003\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.5594444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥5 QA (-zsh)","depth":4,"bounds":{"left":0.51875,"top":0.56,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Sat Apr 11 12:38:35 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5,"top":0.7322222,"width":0.48958334,"height":0.12222222},"value":"Last login: Sat Apr 11 12:38:35 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.70944446,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥6 FE (-zsh)","depth":4,"bounds":{"left":0.51875,"top":0.71,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Sat Apr 11 12:38:35 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5,"top":0.8622222,"width":0.48958334,"height":0.13777778},"value":"Last login: Sat Apr 11 12:38:35 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.85944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥7 EXT 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button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.61875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7375,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7416667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"✳ Unable to access screenpipe activity data (claude)","depth":2,"bounds":{"left":0.86041665,"top":0.05888889,"width":0.12291667,"height":0.026666667},"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8645833,"top":0.06333333,"width":0.011111111,"height":0.017777778},"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"PROD (ssh)","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.05486111,"height":0.017777778},"role_description":"text"}]...
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215625646941872989
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4672521022608602076
|
visual_change
|
accessibility
|
NULL
|
ugins","taskManager","taskManager& ugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:38Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:40Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:40Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:40Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:43Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:43Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:43Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:14:36 Running ['artisan' mailbox:skip-lists:refresh] . 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:45Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:46Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:46Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:48Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:49Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:50Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:52Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:52Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:53Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:14:44 Running ['artisan' mailbox:batch:process --max-batches=15] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:55Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:55Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:55Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:14:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:01Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:01Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:01Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:03Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:04Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:04Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 | 2026-04-14 12:14:55 Running ['artisan' conference:monitor:count] ... 9s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:06Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:07Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:07Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:08Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:10Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:10Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:11Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:13Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:13Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:13Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:16Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:16Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:16Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 | 2026-04-14 12:15:05 Running ['artisan' crm:sync-objects] Syncing objects for Salesforce Team since 2026-03-19 20:14:10
docker_lamp_1 | Syncing objects for Hubspot since 2026-04-14 11:44:15
docker_lamp_1 | Syncing objects for Edge Communications since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Burlington Textiles Corp of America since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Uber since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Vonage since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Nexmo since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for SF since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for NewAccount since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for TestV since 2026-02-17 15:05:47
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for KioskAccount since 2026-02-17 15:06:27
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Pipedrive, Inc. since 2026-04-08 18:14:13
docker_lamp_1 | Syncing objects for Copper since 2026-04-14 11:44:16
docker_lamp_1 | Syncing objects for Pipedrive External Test since 2026-04-08 18:14:16
docker_lamp_1 | Syncing objects for InsightSquared since 2026-02-17 15:09:59
docker_lamp_1 | Syncing objects for Close since 2026-04-14 11:44:17
docker_lamp_1 | Syncing objects for DeewanyAccount since 2026-02-19 13:27:51
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Aircall Demo since 2026-02-17 15:06:51
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05
docker_lamp_1 | Syncing objects for GoStudent UAT since 2026-02-17 15:09:59
docker_lamp_1 | Syncing objects for Horen test since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Ahmed Hamadi since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Ahmed Testing since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Ahmed jiminny since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for JustCall since 2026-02-17 15:07:41
docker_lamp_1 | Syncing objects for Testers Inc since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | 2026-04-14 12:15:17 Jiminny\Jobs\Crm\SyncObjectsSyncing objects for Copper Team since 2026-02-19 13:26:04
docker_lamp_1 | [PASSWORD_DOTS]Team is not yet assigned an owner. skipping...
docker_lamp_1 | RUNNING
docker_lamp_1 | Syncing objects for TheBestPlace Ever since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Horen's apartments since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for New Org Test since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Pipedrive test org since 2026-02-19 13:27:42
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for BigChairs Inc. since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for GL 500 since 2026-02-19 13:26:04
docker_lamp_1 | Syncing objects for Loren X since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Laravel Company 2024 since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Barbara Fuchs since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Twilio Video since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for My Test Account 3000 since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for test since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Test since 2026-02-17 15:09:59
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Test salesforce auto sync since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Bullhorn since 2026-02-19 13:28:05
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for test ogg auto sync since 2026-02-17 15:07:16
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Globo Tech since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | Syncing objects for Laravel 11 Company 2024 since 2026-02-19 13:26:04
docker_lamp_1 | Team is not yet assigned an owner. skipping...
docker_lamp_1 | 2026-04-14 12:15:18 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 386.96ms DONE
docker_lamp_1 | 2026-04-14 12:15:18 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 |
docker_lamp_1 | Error
docker_lamp_1 |
docker_lamp_1 | Call to a member function getAttribute() on null
docker_lamp_1 |
docker_lamp_1 | at app/Console/Commands/Crm/SyncObjects.php:42
docker_lamp_1 | 38▕
docker_lamp_1 | 39▕ foreach ($teams as $team) {
docker_lamp_1 | 40▕ $config = $team->getCrmConfiguration();
docker_lamp_1 | 41▕
docker_lamp_1 | ➜ 42▕ if ($config->getAttribute('sync_objects') === false) {
docker_lamp_1 | 43▕ continue;
docker_lamp_1 | 44▕ }
docker_lamp_1 | 45▕
docker_lamp_1 | 46▕ $this->info(
docker_lamp_1 |
docker_lamp_1 | 1 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:36
docker_lamp_1 | Jiminny\Console\Commands\Crm\SyncObjects::handle()
docker_lamp_1 |
docker_lamp_1 | 2 vendor/laravel/framework/src/Illuminate/Container/Util.php:43
docker_lamp_1 | Illuminate\Container\BoundMethod::Illuminate\Container\{closure}()
docker_lamp_1 |
docker_lamp_1 | 3 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:96
docker_lamp_1 | Illuminate\Container\Util::unwrapIfClosure(Object(Closure))
docker_lamp_1 |
docker_lamp_1 | 4 vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php:35
docker_lamp_1 | Illuminate\Container\BoundMethod::callBoundMethod(Object(Illuminate\Foundation\Application), Object(Closure))
docker_lamp_1 |
docker_lamp_1 | 5 vendor/laravel/framework/src/Illuminate/Container/Container.php:799
docker_lamp_1 | Illuminate\Container\BoundMethod::call(Object(Illuminate\Foundation\Application), [])
docker_lamp_1 |
docker_lamp_1 | 6 vendor/laravel/framework/src/Illuminate/Console/Command.php:211
docker_lamp_1 | Illuminate\Container\Container::call()
docker_lamp_1 |
docker_lamp_1 | 7 vendor/symfony/console/Command/Command.php:341
docker_lamp_1 | Illuminate\Console\Command::execute(Object(Symfony\Component\Console\Input\ArgvInput), Object(Illuminate\Console\OutputStyle))
docker_lamp_1 |
docker_lamp_1 | 8 vendor/laravel/framework/src/Illuminate/Console/Command.php:180
docker_lamp_1 | Symfony\Component\Console\Command\Command::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Illuminate\Console\OutputStyle))
docker_lamp_1 |
docker_lamp_1 | 9 app/Console/Commands/Command.php:41
docker_lamp_1 | Illuminate\Console\Command::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 10 vendor/symfony/console/Application.php:1117
docker_lamp_1 | Jiminny\Console\Commands\Command::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 11 vendor/symfony/console/Application.php:356
docker_lamp_1 | Symfony\Component\Console\Application::doRunCommand(Object(Jiminny\Console\Commands\Crm\SyncObjects), Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 12 vendor/symfony/console/Application.php:195
docker_lamp_1 | Symfony\Component\Console\Application::doRun(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 13 vendor/laravel/framework/src/Illuminate/Foundation/Console/Kernel.php:198
docker_lamp_1 | Symfony\Component\Console\Application::run(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 14 vendor/laravel/framework/src/Illuminate/Foundation/Application.php:1235
docker_lamp_1 | Illuminate\Foundation\Console\Kernel::handle(Object(Symfony\Component\Console\Input\ArgvInput), Object(Symfony\Component\Console\Output\ConsoleOutput))
docker_lamp_1 |
docker_lamp_1 | 15 artisan:13
docker_lamp_1 | Illuminate\Foundation\Application::handleCommand(Object(Symfony\Component\Console\Input\ArgvInput))
docker_lamp_1 |
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:18Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | [PASSWORD_DOTS] 13s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:sync-objects > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 896.59ms DONE
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 115.49ms DONE
docker_lamp_1 | 2026-04-14 12:15:19 Jiminny\Jobs\Crm\SyncObjectsrun_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 | [PASSWORD_DOTS] RUNNING
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:19Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
docker_lamp_1 | 2026-04-14 12:15:20 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 2026-04-14 12:15:20 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:20Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 75.20ms DONE
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 51.77ms DONE
docker_lamp_1 | 2026-04-14 12:15:21 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:22Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:22Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 75.17ms DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 42.25ms DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 52.64ms DONE
docker_lamp_1 | 2026-04-14 12:15:22 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-14 12:15:23 Jiminny\Jobs\Crm\SyncObjects [PASSWORD_DOTS] 38.54ms DONE
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:23Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:25Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:25Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:25Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:28Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:31Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:31Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:31Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:33Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:34Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:34Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:36Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:37Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:37Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:38Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:40Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:40Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:41Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:43Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:43Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:43Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:46Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:46Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:46Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:48Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:49Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:50Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:51Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:52Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:52Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:53Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:55Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:55Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:56Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:15:58Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:01Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:01Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:01Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:03Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:04Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:04Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:06Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:07Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:07Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:08Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:10Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:10Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
docker_lamp_1 |
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:11Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:13Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:13Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:13Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:17Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:17Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:17Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:18Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["error","plugins","reporting","esqueue","queue-worker","error"],"pid":7,"message":"mnyadn6600070bdf86d69yx1 - job querying failed: Error: No Living connections\n at sendReqWithConnection (/usr/share/kibana/node_modules/elasticsearch/src/lib/transport.js:266:15)\n at next (/usr/share/kibana/node_modules/elasticsearch/src/lib/connection_pool.js:243:7)\n at process._tickCallback (internal/process/next_tick.js:61:11)"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:19Z","tags":["error","plugins","taskManager","taskManager"],"pid":7,"message":"Failed to poll for work: Error: No Living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","elasticsearch","data"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","elasticsearch","monitoring"],"pid":7,"message":"Unable to revive connection: [URL_WITH_CREDENTIALS] living connections"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:20Z","tags":["warning","plugins","licensing"],"pid":7,"message":"License information could not be obtained from Elasticsearch due to Error: No Living connections error"}
kibana | {"type":"log","@timestamp":"2026-04-14T12:16:21Z","tags":["error","elasticsearch","data"],"pid":7,"message":"[ConnectionError]: getaddrinfo ENOTFOUND elasticsearch elasticsearch:9200"}
docker_lamp_1 | 2026-04-14 12:16:10 Running ['artisan' meeting-bot:schedule-bot]
docker_lamp_1 | Elastica\Exception\Connection\HttpException
docker_lamp_1 |
docker_lamp_1 | Couldn't resolve host
docker_lamp_1 |
docker_lamp_1 | at vendor/ruflin/elastica/src/Transport/Http.php:186
docker_lamp_1 | 182▕ throw new PartialShardFailureException($request, $response);
docker_lamp_1 | 183▕ }
docker_lamp_1 | 184▕
docker_lamp_1 | 185▕ if ($errorNumber > 0) {
docker_lamp_1 | ➜ 186▕ throw new HttpException($errorNumber, $request, $response);
docker_lamp_1 | 187▕ }
docker_lamp_1 | 188▕
docker_lamp_1 | 189▕ return $response;
docker_lamp_1 | 190▕ }
docker_lamp_1 |
docker_lamp_1 | 1 vendor/ruflin/elastica/src/Request.php:183
docker_lamp_1 | Elastica\Transport\Http::exec(Object(Elastica\Request), [])
docker_lamp_1 |
docker_lamp_1 | 2 vendor/ruflin/elastica/src/Client.php:545
docker_lamp_1 | Elastica\Request::send()
docker_lamp_1 |
docker_lamp_1 | 3 vendor/ruflin/elastica/src/Client.php:580
docker_lamp_1 | Elastica\Client::request("activities/_doc/408704", "POST", [])
docker_lamp_1 |
docker_lamp_1 | 4 vendor/ruflin/elastica/src/Index.php:774
docker_lamp_1 | Elastica\Client::requestEndpoint(Object(Elasticsearch\Endpoints\Index))
docker_lamp_1 |
docker_lamp_1 | 5 vendor/ruflin/elastica/src/Index.php:241
docker_lamp_1 | Elastica\Index::requestEndpoint(Object(Elasticsearch\Endpoints\Index))
docker_lamp_1 |
docker_lamp_1 | 6 app/Component/ES/Actions/InstantUpsertAction.php:52
docker_lamp_1 | Elastica\Index::addDocument(Object(Elasti...
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NULL
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70040
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1630
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11
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2026-04-22T09:36:14.563104+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-22/1776 /Users/lukas/.screenpipe/data/data/2026-04-22/1776850574563_m1.jpg...
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iTerm2
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DOCKER (docker-compose)
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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uck] No stuck transcriptions found.
docker_lamp_1 uck] No stuck transcriptions found.
docker_lamp_1 | 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:07:57 Running ['artisan' automated-reports:send] .... 20s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:08:18 Running ['artisan' deal-insights:send-update] . 21s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:08:39 Running ['artisan' ai-crm-notes:delete-old] ... 17s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' ai-crm-notes:delete-old > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:08:57 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 21s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:09:19 Running ['artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00'] 22s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:09:41 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 25s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:10:07 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 23s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:10:30 Running ['artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 16s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:10:46 Running ['artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00'] 18s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:11:05 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:11:05 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:11:06 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 16s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:11:21 Running ['artisan' nudges:send --silent] ...... 18s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:11:39 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-22 07:11:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:42 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 1s DONE
docker_lamp_1 | 2026-04-22 07:11:43 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:43 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 176.40ms DONE
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 119.77ms DONE
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 87.67ms DONE
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 96.68ms DONE
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 136.76ms DONE
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:46 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 98.44ms DONE
docker_lamp_1 | 23s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:13:19 Running ['artisan' meeting-bot:schedule-bot] .. 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:13:39 Running ['artisan' dialers:monitor-activities] 18s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:13:58 Running ['artisan' jiminny:monitor-social-accounts] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:14:07 Running ['artisan' mailbox:skip-lists:refresh] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:14:13 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 21.68ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-22 07:14:35 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-22 07:14:37 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... 1s DONE
docker_lamp_1 | 2026-04-22 07:14:39 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-22 07:14:40 Jiminny\Jobs\Calendar\SyncCalendarEvents . 579.61ms DONE
docker_lamp_1 | 2026-04-22 07:14:40 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:14:40 Jiminny\Jobs\Calendar\SyncCalendarEvents . 246.84ms DONE
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:15:11 Running ['artisan' meeting-bot:schedule-bot] .. 10s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:22 Running ['artisan' dialers:monitor-activities] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:29 Running ['artisan' jiminny:monitor-social-accounts] 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:36 Running ['artisan' mailbox:skip-lists:refresh] . 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:43 Running ['artisan' mailbox:batch:process --max-batches=15] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:52 Running ['artisan' activity:purge-stale] ....... 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:00 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:08 Running ['artisan' conference:pre-meeting-notification] 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:15 Running ['artisan' conference:monitor:start] ... 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:23 Running ['artisan' conference:monitor:end] ..... 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:29 Running ['artisan' jiminny:fix-hubspot-tokens] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' conference:pre-meeting-reminder] in background 5.45ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' hubspot:journal-poll --start] in background 2.23ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' datadog:report:processing-sla-activities] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:45 Running ['artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | 2026-04-22 07:16:53 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:54 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:16:54 Jiminny\Jobs\Activity\SyncActivity ....... 324.50ms DONE
docker_lamp_1 | 2026-04-22 07:16:54 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity ....... 822.28ms DONE
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity ....... 757.78ms DONE
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:56 Jiminny\Jobs\Activity\SyncActivity ....... 734.01ms DONE
docker_lamp_1 | 2026-04-22 07:16:56 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:57 Jiminny\Jobs\Activity\SyncActivity ....... 696.17ms DONE
docker_lamp_1 | 2026-04-22 07:16:57 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:57 Jiminny\Jobs\Activity\SyncActivity ....... 448.22ms DONE
docker_lamp_1 | 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:59 Running ['artisan' nudges:send --silent] ....... 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:17:05 Running ['artisan' jiminny:playlists:normalize-sort] 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:18:05 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:11 Running ['artisan' dialers:monitor-activities] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:17 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:22 Running ['artisan' mailbox:skip-lists:refresh] . 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:28 Running ['artisan' mailbox:batch:process --max-batches=15] 4s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:33 Running ['artisan' conference:monitor:count] ... 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 6.33ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams:
docker_lamp_1 | [PASSWORD_DOTS] 9s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:19:14 Running ['artisan' meeting-bot:schedule-bot] .. 22s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:19:37 Running ['artisan' dialers:monitor-activities] 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:19:57 Running ['artisan' jiminny:monitor-social-accounts] 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:20:16 Running ['artisan' mailbox:skip-lists:refresh] 23s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:20:40 Running ['artisan' mailbox:batch:process --max-batches=15] 21s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:22:12 Running ['artisan' meeting-bot:schedule-bot] .. 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:23 Running ['artisan' dialers:monitor-activities] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:35 Running ['artisan' jiminny:monitor-social-accounts] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:47 Running ['artisan' mailbox:skip-lists:refresh] . 9s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:09 Running ['artisan' conference:monitor:count] .. 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:21 Running ['artisan' mailbox:batch:create] ...... 16s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:37 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00'] 2026-04-22 07:23:38 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:23:40 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:49 Running ['artisan' twilio:recover-tracks] ..... 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' twilio:recover-tracks > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:24:01 Running ['artisan' dialers:sync-users] [PASSWORD_DOTS] 15s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:sync-users > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:24:16 Running ['artisan' datadog:report:failed-processing-states] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:failed-processing-states > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:25:10 Running ['artisan' meeting-bot:schedule-bot] ... 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:18 Running ['artisan' dialers:monitor-activities] 14s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:32 Running ['artisan' jiminny:monitor-social-accounts] 12s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:44 Running ['artisan' mailbox:skip-lists:refresh] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:26:09 Running ['artisan' activity:purge-stale] ...... 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:26:20 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | ... 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
unexpected EOF
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
Attaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis
mariadb-1 | 2026-04-22 09:35:41+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.
redis | 1:C 22 Apr 2026 09:35:41.939 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
redis | 1:C 22 Apr 2026 09:35:41.940 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started
redis | 1:C 22 Apr 2026 09:35:41.940 # Configuration loaded
redis | 1:M 22 Apr 2026 09:35:41.942 * Running mode=standalone, port=6379.
redis | 1:M 22 Apr 2026 09:35:41.942 # Server initialized
redis | 1:M 22 Apr 2026 09:35:41.942 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.
redis | 1:M 22 Apr 2026 09:35:41.946 * Reading RDB preamble from AOF file...
redis | 1:M 22 Apr 2026 09:35:41.953 * Reading the remaining AOF tail...
blackfire-1 | [2026-04-22T09:35:42Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.
blackfire-1 | usage blackfire-agent [options]
blackfire-1 | --collector="https://blackfire.io": Sets the URL of Blackfire's data collector
blackfire-1 | --config="/etc/blackfire/agent": Sets the path to the configuration file
blackfire-1 | -d: Prints the current configuration
blackfire-1 | --http-proxy="": Sets the HTTP proxy to use
blackfire-1 | --https-proxy="": Sets the HTTPS proxy to use
blackfire-1 | --log-file="stderr": Sets the path of the log file. Use stderr to log to stderr
blackfire-1 | --log-level="1": log verbosity level (4: debug, 3: info, 2: warning, 1: error)
blackfire-1 | --register: Helps you with registering the agent
blackfire-1 | --server-id="": Sets the server id used to authenticate with Blackfire API
blackfire-1 | --server-token="": Sets the server token used to authenticate with Blackfire API. It is unsafe to set this from the command line
blackfire-1 | --socket="unix:///var/run/blackfire/agent.sock": Sets the socket the agent should read traces from. Possible value can be a unix socket or a TCP address. ie: unix:///var/run/blackfire/agent.sock or tcp://[IP_ADDRESS]:8307
blackfire-1 | --test: Tests the configuration
blackfire-1 | --timeout="15s": Sets the Blackfire connection timeout
blackfire-1 | -v: Prints the version number
blackfire-1 exited with code 1
jiminny_ext-1 exited with code 0
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="no configuration paths supplied"
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="using configuration at default config path" path=/home/ngrok/.ngrok2/ngrok.yml
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="open config file" path=/home/ngrok/.ngrok2/ngrok.yml err=nil
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="starting web service" obj=web addr=[IP_ADDRESS]:4040
docker_lamp_1 | + main
docker_lamp_1 | + declare START_DIR
docker_lamp_1 | +++ realpath /scripts/init-dev
docker_lamp_1 | ++ dirname /scripts/init-dev
docker_lamp_1 | + START_DIR=/scripts
docker_lamp_1 | + readonly START_DIR
docker_lamp_1 | + source /scripts/storage_init.sh
docker_lamp_1 | ++ set -o errexit
docker_lamp_1 | ++ set -o nounset
docker_lamp_1 | ++ set -o pipefail
docker_lamp_1 | + create_bind_mount
docker_lamp_1 | + [[ 0 == \1 ]]
docker_lamp_1 | + configure_xdebug
docker_lamp_1 | + j2 /root/.j2_templates/xdebug/xdebug.ini.j2
mariadb-1 | 2026-04-22 09:35:42+00:00 [Warn] [Entrypoint]: /sys/fs/cgroup///memory.pressure not writable, functionality unavailable to MariaDB
mariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Switching to dedicated user 'mysql'
mariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.
datadog-1 | [s6-init] making user provided files available at /var/run/s6/etc...exited 0.
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="tunnel session started" obj=tunnels.session
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="client session established" obj=csess id=aae2f3a00790
mariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade information missing, assuming required
mariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade (mariadb-upgrade or creating healthcheck users) required, but skipped due to $MARIADB_AUTO_UPGRADE setting
mariadb-1 | 2026-04-22 9:35:43 0 [Note] Starting MariaDB 11.4.5-MariaDB-ubu2404 source revision 0771110266ff5c04216af4bf1243c65f8c67ccf4 server_uid QGneL+sEtMZwOWu0c63tUMw7/Pc= as process 1
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Compressed tables use zlib 1.3
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Number of transaction pools: 1
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using ARMv8 crc32 + pmull instructions
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using liburing
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Initializing buffer pool, total size = 128.000MiB, chunk size = 2.000MiB
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Completed initialization of buffer pool
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File system buffers for log disabled (block size=512 bytes)
docker_lamp_1 | + configure_blackfire
docker_lamp_1 | + j2 /root/.j2_templates/blackfire/extension.ini.j2
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="started tunnel" obj=tunnels name="command_line (http)" addr=http://lamp:3080 url=http://lukask.ngrok.io
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="started tunnel" obj=tunnels name=command_line addr=http://lamp:3080 url=https://lukask.ngrok.io
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: End of log at LSN=7617138414
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Opened 3 undo tablespaces
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: 128 rollback segments in 3 undo tablespaces are active.
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Setting file './ibtmp1' size to 12.000MiB. Physically writing the file full; Please wait ...
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File './ibtmp1' size is now 12.000MiB.
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: log sequence number 7617138414; transaction id 11488399
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Loading buffer pool(s) from /var/lib/mysql/ib_buffer_pool
mariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'FEEDBACK' is disabled.
mariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'wsrep-provider' is disabled.
docker_lamp_1 | + j2 /root/.j2_templates/blackfire/cli.ini.j2
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="update available" obj=updater
docker_lamp_1 | + declare EMPTY_DB
docker_lamp_1 | + db_is_empty
docker_lamp_1 | ++ wc -l
docker_lamp_1 | ++ find /var/lib/mysql/ -maxdepth 1
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Buffer pool(s) load completed at 260422 9:35:43
docker_lamp_1 | + [[ 11 -lt 5 ]]
docker_lamp_1 | + EMPTY_DB=0
docker_lamp_1 | + readonly EMPTY_DB
docker_lamp_1 | + [[ 0 -eq 1 ]]
docker_lamp_1 | + [[ local == \l\o\c\a\l ]]
docker_lamp_1 | + set_nginx_domain dev.jiminny.com
docker_lamp_1 | + declare -r DOMAIN_NAME=dev.jiminny.com
docker_lamp_1 | + cp -f /etc/nginx/nginx_template.conf /etc/nginx/nginx.conf
docker_lamp_1 | + sed -i -E s~_JIMINNY_DOMAIN~app.dev.jiminny.com~g /etc/nginx/nginx.conf
docker_lamp_1 | + sed -i -E s~_JIMINNY_EXT_DOMAIN~ext.dev.jiminny.com~g /etc/nginx/nginx.conf
docker_lamp_1 | + sed -i -E s~_JIMINNY_WEB_DOMAIN~www.dev.jiminny.com~g /etc/nginx/nginx.conf
docker_lamp_1 | + [[ -n 3399 ]]
docker_lamp_1 | + sed -i -E 's~http:\/\/jiminny_ext:8080~http://jiminny_ext:3399~g' /etc/nginx/nginx.conf
docker_lamp_1 | + [[ -n host.docker.internal ]]
docker_lamp_1 | + sed -i -E 's~http:\/\/jiminny_ext~http://host.docker.internal~g' /etc/nginx/nginx.conf
docker_lamp_1 | + build_dev
docker_lamp_1 | + cd /home/jiminny/
docker_lamp_1 | + create_dot_env_local_file
docker_lamp_1 | + cp -f /home/jiminny/.env.local /home/jiminny/.env.local.bak
docker_lamp_1 | + create_dot_env
docker_lamp_1 | + [[ -f /home/jiminny/.env ]]
docker_lamp_1 | + return
docker_lamp_1 | + declare DB_ADMIN_PASSWORD
docker_lamp_1 | + declare DB_ADMIN_USERNAME
docker_lamp_1 | + declare DB_DEV_PASSWORD
docker_lamp_1 | + declare DB_DEV_USERNAME
docker_lamp_1 | + declare DB_ROOT_PASSWORD
docker_lamp_1 | + declare DB_ROOT_USERNAME
docker_lamp_1 | + declare DB_WEB_PASSWORD
docker_lamp_1 | + declare DB_WEB_USERNAME
docker_lamp_1 | ++ jq -r .DB_ADMIN_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_ADMIN_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_ADMIN_USERNAME=jmnyadmin
docker_lamp_1 | ++ jq -r .DB_DEV_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_DEV_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_DEV_USERNAME=jmnydev
docker_lamp_1 | ++ jq -r .DB_ROOT_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_ROOT_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_ROOT_USERNAME=root
docker_lamp_1 | ++ jq -r .DB_WEB_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_WEB_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_WEB_USERNAME=jmnyweb
docker_lamp_1 | + readonly DB_ADMIN_PASSWORD
docker_lamp_1 | + readonly DB_ADMIN_USERNAME
docker_lamp_1 | + readonly DB_DEV_PASSWORD
docker_lamp_1 | + readonly DB_DEV_USERNAME
docker_lamp_1 | + readonly DB_ROOT_PASSWORD
docker_lamp_1 | + readonly DB_ROOT_USERNAME
docker_lamp_1 | + readonly DB_WEB_PASSWORD
docker_lamp_1 | + readonly DB_WEB_USERNAME
docker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=jmnyadmin~g' /home/jiminny/.env
docker_lamp_1 | + sed -i -E 's~[ENV_SECRET] /home/jiminny/.env
docker_lamp_1 | + sed -i -E 's~DB_HOST=.*$~DB_HOST=mariadb~g' /home/jiminny/.env
docker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.root
datadog-1 | [s6-init] ensuring user provided files have correct perms...exited 0.
docker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.migrate
docker_lamp_1 | + sed -i -E 's~[ENV_SECRET] /home/jiminny/.env.migrate
docker_lamp_1 | + sed -i -E 's~[ENV_SECRET] /home/jiminny/.env.root
docker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.migrate
datadog-1 | [fix-attrs.d] applying ownership & permissions fixes...
docker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.root
docker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.local
docker_lamp_1 | + echo ''
docker_lamp_1 | + echo '[ENV_SECRET]
docker_lamp_1 | + echo DB_ADMIN_USERNAME=jmnyadmin
docker_lamp_1 | + echo [ENV_SECRET]
docker_lamp_1 | + echo DB_DEV_USERNAME=jmnydev
docker_lamp_1 | + echo [ENV_SECRET]
docker_lamp_1 | + echo DB_ROOT_USERNAME=root
docker_lamp_1 | + echo [ENV_SECRET]
docker_lamp_1 | + echo DB_WEB_USERNAME=jmnyweb
docker_lamp_1 | + [[ false == \f\a\l\s\e ]]
docker_lamp_1 | + declare COMPOSER_PARAM=--prefer-dist
docker_lamp_1 | + [[ 0 -eq 1 ]]
datadog-1 | [fix-attrs.d] done.
docker_lamp_1 | + composer install --prefer-dist
datadog-1 | [cont-init.d] executing container initialization scripts...
datadog-1 | [cont-init.d] 01-check-apikey.sh: executing...
mariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '[IP_ADDRESS]'.
mariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '::'.
datadog-1 |
datadog-1 | ==================================================================================
datadog-1 | You must set an DD_API_KEY environment variable to run the Datadog Agent container
datadog-1 | ==================================================================================
datadog-1 |
mariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: Event Scheduler: Loaded 0 events
mariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: ready for connections.
mariadb-1 | Version: '11.4.5-MariaDB-ubu2404' socket: '/run/mysqld/mysqld.sock' port: 3306 mariadb.org binary distribution
datadog-1 | [cont-init.d] 01-check-apikey.sh: exited 1.
datadog-1 exited with code 1
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:46,369Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "version[7.10.2], pid[7], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:46,372Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:46,372Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60, -Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -XX:+ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI,COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25, -XX:InitiatingHeapOccupancyPercent=30, -Djava.io.tmpdir=/tmp/elasticsearch-11524882932678271334, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jdk=true]" }
docker_lamp_1 | Installing dependencies from lock file (including require-dev)
docker_lamp_1 | Verifying lock file contents can be installed on current platform.
docker_lamp_1 | Nothing to install, update or remove
docker_lamp_1 | Package doctrine/annotations is abandoned, you should avoid using it. No replacement was suggested.
docker_lamp_1 | Package symfony/debug is abandoned, you should avoid using it. Use symfony/error-handler instead.
docker_lamp_1 | Generating optimized autoload files
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [aggs-matrix-stats]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [analysis-common]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [constant-keyword]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [flattened]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [frozen-indices]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [ingest-common]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [ingest-geoip]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [ingest-user-agent]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [kibana]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [lang-expression]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [lang-mustache]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [lang-painless]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [mapper-extras]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [mapper-version]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [parent-join]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [percolator]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [rank-eval]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [reindex]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [repositories-metering-api]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [repository-url]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [search-business-rules]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [searchable-snapshots]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [spatial]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [transform]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [transport-netty4]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [unsigned-long]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [vectors]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [wildcard]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-analytics]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-async]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-async-search]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-autoscaling]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ccr]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-core]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-data-streams]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-deprecation]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-enrich]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-eql]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-graph]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-identity-provider]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ilm]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-logstash]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ml]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-monitoring]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ql]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-rollup]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-security]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-sql]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-stack]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-voting-only-node]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-watcher]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,731Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "no plugins loaded" }
elasticsearch | {"type": "deprecation", "timestamp": "2026-04-22T09:35:48,822Z", "level": "DEPRECATION", "component": "o.e.d.c.s.Settings", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "[node.data] setting was deprecated in Elasticsearch and will be removed in a future release! See the breaking changes documentation for the next major version." }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,850Z", "level": "INFO", "component": "o.e.e.NodeEnvironment", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/vda1)]], net usable_space [14.5gb], net total_space [58.3gb], types [ext4]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,850Z", "level": "INFO", "component": "o.e.e.NodeEnvironment", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "heap size [700mb], compressed ordinary object pointers [true]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,952Z", "level": "INFO", "comp...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"uck] No stuck transcriptions found.\ndocker_lamp_1 | 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:07:57 Running ['artisan' automated-reports:send] .... 20s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:08:18 Running ['artisan' deal-insights:send-update] . 21s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:08:39 Running ['artisan' ai-crm-notes:delete-old] ... 17s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' ai-crm-notes:delete-old > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:08:57 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 21s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:09:19 Running ['artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00'] 22s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:09:41 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 25s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:10:07 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 23s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:10:30 Running ['artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 16s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:10:46 Running ['artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00'] 18s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:11:05 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:11:05 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:06 Jiminny\\Jobs\\Activity\\SyncActivity ............. 1s DONE\ndocker_lamp_1 | 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 16s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:11:21 Running ['artisan' nudges:send --silent] ...... 18s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:11:39 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-22 07:11:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:42 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 1s DONE\ndocker_lamp_1 | 2026-04-22 07:11:43 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:43 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 176.40ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 119.77ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 87.67ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 96.68ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 136.76ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:46 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 98.44ms DONE\ndocker_lamp_1 | 23s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:13:19 Running ['artisan' meeting-bot:schedule-bot] .. 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:13:39 Running ['artisan' dialers:monitor-activities] 18s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:13:58 Running ['artisan' jiminny:monitor-social-accounts] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:14:07 Running ['artisan' mailbox:skip-lists:refresh] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:14:13 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 21.68ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-22 07:14:35 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-22 07:14:37 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... 1s DONE\ndocker_lamp_1 | 2026-04-22 07:14:39 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-22 07:14:40 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 579.61ms DONE\ndocker_lamp_1 | 2026-04-22 07:14:40 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:14:40 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 246.84ms DONE\ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:15:11 Running ['artisan' meeting-bot:schedule-bot] .. 10s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:22 Running ['artisan' dialers:monitor-activities] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:29 Running ['artisan' jiminny:monitor-social-accounts] 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:36 Running ['artisan' mailbox:skip-lists:refresh] . 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:43 Running ['artisan' mailbox:batch:process --max-batches=15] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:52 Running ['artisan' activity:purge-stale] ....... 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:00 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:08 Running ['artisan' conference:pre-meeting-notification] 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:15 Running ['artisan' conference:monitor:start] ... 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:23 Running ['artisan' conference:monitor:end] ..... 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:29 Running ['artisan' jiminny:fix-hubspot-tokens] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' conference:pre-meeting-reminder] in background 5.45ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' hubspot:journal-poll --start] in background 2.23ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' datadog:report:processing-sla-activities] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:45 Running ['artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | 2026-04-22 07:16:53 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:54 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:16:54 Jiminny\\Jobs\\Activity\\SyncActivity ....... 324.50ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:54 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ....... 822.28ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ....... 757.78ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:56 Jiminny\\Jobs\\Activity\\SyncActivity ....... 734.01ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:56 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:57 Jiminny\\Jobs\\Activity\\SyncActivity ....... 696.17ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:57 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:57 Jiminny\\Jobs\\Activity\\SyncActivity ....... 448.22ms DONE\ndocker_lamp_1 | 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:59 Running ['artisan' nudges:send --silent] ....... 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:17:05 Running ['artisan' jiminny:playlists:normalize-sort] 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:18:05 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:11 Running ['artisan' dialers:monitor-activities] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:17 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:22 Running ['artisan' mailbox:skip-lists:refresh] . 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:28 Running ['artisan' mailbox:batch:process --max-batches=15] 4s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:33 Running ['artisan' conference:monitor:count] ... 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 6.33ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams: \ndocker_lamp_1 | ........ 9s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:19:14 Running ['artisan' meeting-bot:schedule-bot] .. 22s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:19:37 Running ['artisan' dialers:monitor-activities] 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:19:57 Running ['artisan' jiminny:monitor-social-accounts] 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:20:16 Running ['artisan' mailbox:skip-lists:refresh] 23s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:20:40 Running ['artisan' mailbox:batch:process --max-batches=15] 21s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:22:12 Running ['artisan' meeting-bot:schedule-bot] .. 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:23 Running ['artisan' dialers:monitor-activities] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:35 Running ['artisan' jiminny:monitor-social-accounts] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:47 Running ['artisan' mailbox:skip-lists:refresh] . 9s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:09 Running ['artisan' conference:monitor:count] .. 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:21 Running ['artisan' mailbox:batch:create] ...... 16s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:37 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00'] 2026-04-22 07:23:38 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:23:40 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. 1s DONE\ndocker_lamp_1 | 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:49 Running ['artisan' twilio:recover-tracks] ..... 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' twilio:recover-tracks > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:24:01 Running ['artisan' dialers:sync-users] ........ 15s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:sync-users > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:24:16 Running ['artisan' datadog:report:failed-processing-states] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:failed-processing-states > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:25:10 Running ['artisan' meeting-bot:schedule-bot] ... 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:18 Running ['artisan' dialers:monitor-activities] 14s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:32 Running ['artisan' jiminny:monitor-social-accounts] 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:44 Running ['artisan' mailbox:skip-lists:refresh] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:26:09 Running ['artisan' activity:purge-stale] ...... 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:26:20 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | ... 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \nunexpected EOF\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \nAttaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis\nmariadb-1 | 2026-04-22 09:35:41+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\nredis | 1:C 22 Apr 2026 09:35:41.939 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo\nredis | 1:C 22 Apr 2026 09:35:41.940 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started\nredis | 1:C 22 Apr 2026 09:35:41.940 # Configuration loaded\nredis | 1:M 22 Apr 2026 09:35:41.942 * Running mode=standalone, port=6379.\nredis | 1:M 22 Apr 2026 09:35:41.942 # Server initialized\nredis | 1:M 22 Apr 2026 09:35:41.942 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.\nredis | 1:M 22 Apr 2026 09:35:41.946 * Reading RDB preamble from AOF file...\nredis | 1:M 22 Apr 2026 09:35:41.953 * Reading the remaining AOF tail...\nblackfire-1 | [2026-04-22T09:35:42Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.\nblackfire-1 | usage blackfire-agent [options]\nblackfire-1 | --collector=\"https://blackfire.io\": Sets the URL of Blackfire's data collector\nblackfire-1 | --config=\"/etc/blackfire/agent\": Sets the path to the configuration file\nblackfire-1 | -d: Prints the current configuration\nblackfire-1 | --http-proxy=\"\": Sets the HTTP proxy to use\nblackfire-1 | --https-proxy=\"\": Sets the HTTPS proxy to use\nblackfire-1 | --log-file=\"stderr\": Sets the path of the log file. Use stderr to log to stderr\nblackfire-1 | --log-level=\"1\": log verbosity level (4: debug, 3: info, 2: warning, 1: error)\nblackfire-1 | --register: Helps you with registering the agent\nblackfire-1 | --server-id=\"\": Sets the server id used to authenticate with Blackfire API\nblackfire-1 | --server-token=\"\": Sets the server token used to authenticate with Blackfire API. It is unsafe to set this from the command line\nblackfire-1 | --socket=\"unix:///var/run/blackfire/agent.sock\": Sets the socket the agent should read traces from. Possible value can be a unix socket or a TCP address. ie: unix:///var/run/blackfire/agent.sock or tcp://127.0.0.1:8307\nblackfire-1 | --test: Tests the configuration\nblackfire-1 | --timeout=\"15s\": Sets the Blackfire connection timeout\nblackfire-1 | -v: Prints the version number\nblackfire-1 exited with code 1\njiminny_ext-1 exited with code 0\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"no configuration paths supplied\"\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"using configuration at default config path\" path=/home/ngrok/.ngrok2/ngrok.yml\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"open config file\" path=/home/ngrok/.ngrok2/ngrok.yml err=nil\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"starting web service\" obj=web addr=0.0.0.0:4040\ndocker_lamp_1 | + main\ndocker_lamp_1 | + declare START_DIR\ndocker_lamp_1 | +++ realpath /scripts/init-dev\ndocker_lamp_1 | ++ dirname /scripts/init-dev\ndocker_lamp_1 | + START_DIR=/scripts\ndocker_lamp_1 | + readonly START_DIR\ndocker_lamp_1 | + source /scripts/storage_init.sh\ndocker_lamp_1 | ++ set -o errexit\ndocker_lamp_1 | ++ set -o nounset\ndocker_lamp_1 | ++ set -o pipefail\ndocker_lamp_1 | + create_bind_mount\ndocker_lamp_1 | + [[ 0 == \\1 ]]\ndocker_lamp_1 | + configure_xdebug\ndocker_lamp_1 | + j2 /root/.j2_templates/xdebug/xdebug.ini.j2\nmariadb-1 | 2026-04-22 09:35:42+00:00 [Warn] [Entrypoint]: /sys/fs/cgroup///memory.pressure not writable, functionality unavailable to MariaDB\nmariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Switching to dedicated user 'mysql'\nmariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\ndatadog-1 | [s6-init] making user provided files available at /var/run/s6/etc...exited 0.\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"tunnel session started\" obj=tunnels.session\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"client session established\" obj=csess id=aae2f3a00790\nmariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade information missing, assuming required\nmariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade (mariadb-upgrade or creating healthcheck users) required, but skipped due to $MARIADB_AUTO_UPGRADE setting\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] Starting MariaDB 11.4.5-MariaDB-ubu2404 source revision 0771110266ff5c04216af4bf1243c65f8c67ccf4 server_uid QGneL+sEtMZwOWu0c63tUMw7/Pc= as process 1\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Compressed tables use zlib 1.3\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Number of transaction pools: 1\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using ARMv8 crc32 + pmull instructions\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using liburing\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Initializing buffer pool, total size = 128.000MiB, chunk size = 2.000MiB\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Completed initialization of buffer pool\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File system buffers for log disabled (block size=512 bytes)\ndocker_lamp_1 | + configure_blackfire\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/extension.ini.j2\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=\"command_line (http)\" addr=http://lamp:3080 url=http://lukask.ngrok.io\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=command_line addr=http://lamp:3080 url=https://lukask.ngrok.io\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: End of log at LSN=7617138414\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Opened 3 undo tablespaces\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: 128 rollback segments in 3 undo tablespaces are active.\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Setting file './ibtmp1' size to 12.000MiB. Physically writing the file full; Please wait ...\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File './ibtmp1' size is now 12.000MiB.\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: log sequence number 7617138414; transaction id 11488399\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Loading buffer pool(s) from /var/lib/mysql/ib_buffer_pool\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'FEEDBACK' is disabled.\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'wsrep-provider' is disabled.\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/cli.ini.j2\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"update available\" obj=updater\ndocker_lamp_1 | + declare EMPTY_DB\ndocker_lamp_1 | + db_is_empty\ndocker_lamp_1 | ++ wc -l\ndocker_lamp_1 | ++ find /var/lib/mysql/ -maxdepth 1\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Buffer pool(s) load completed at 260422 9:35:43\ndocker_lamp_1 | + [[ 11 -lt 5 ]]\ndocker_lamp_1 | + EMPTY_DB=0\ndocker_lamp_1 | + readonly EMPTY_DB\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndocker_lamp_1 | + [[ local == \\l\\o\\c\\a\\l ]]\ndocker_lamp_1 | + set_nginx_domain dev.jiminny.com\ndocker_lamp_1 | + declare -r DOMAIN_NAME=dev.jiminny.com\ndocker_lamp_1 | + cp -f /etc/nginx/nginx_template.conf /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_DOMAIN~app.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_EXT_DOMAIN~ext.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_WEB_DOMAIN~www.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n 3399 ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext:8080~http://jiminny_ext:3399~g' /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n host.docker.internal ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext~http://host.docker.internal~g' /etc/nginx/nginx.conf\ndocker_lamp_1 | + build_dev\ndocker_lamp_1 | + cd /home/jiminny/\ndocker_lamp_1 | + create_dot_env_local_file\ndocker_lamp_1 | + cp -f /home/jiminny/.env.local /home/jiminny/.env.local.bak\ndocker_lamp_1 | + create_dot_env\ndocker_lamp_1 | + [[ -f /home/jiminny/.env ]]\ndocker_lamp_1 | + return\ndocker_lamp_1 | + declare DB_ADMIN_PASSWORD\ndocker_lamp_1 | + declare DB_ADMIN_USERNAME\ndocker_lamp_1 | + declare DB_DEV_PASSWORD\ndocker_lamp_1 | + declare DB_DEV_USERNAME\ndocker_lamp_1 | + declare DB_ROOT_PASSWORD\ndocker_lamp_1 | + declare DB_ROOT_USERNAME\ndocker_lamp_1 | + declare DB_WEB_PASSWORD\ndocker_lamp_1 | + declare DB_WEB_USERNAME\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ADMIN_PASSWORD='dgyt$rTe21-d'\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | ++ jq -r .DB_DEV_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_PASSWORD=rTr4sdQA65-Ad\ndocker_lamp_1 | ++ jq -r .DB_DEV_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | ++ jq -r .DB_ROOT_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | ++ jq -r .DB_ROOT_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ROOT_USERNAME=root\ndocker_lamp_1 | ++ jq -r .DB_WEB_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | ++ jq -r .DB_WEB_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_WEB_USERNAME=jmnyweb\ndocker_lamp_1 | + readonly DB_ADMIN_PASSWORD\ndocker_lamp_1 | + readonly DB_ADMIN_USERNAME\ndocker_lamp_1 | + readonly DB_DEV_PASSWORD\ndocker_lamp_1 | + readonly DB_DEV_USERNAME\ndocker_lamp_1 | + readonly DB_ROOT_PASSWORD\ndocker_lamp_1 | + readonly DB_ROOT_USERNAME\ndocker_lamp_1 | + readonly DB_WEB_PASSWORD\ndocker_lamp_1 | + readonly DB_WEB_USERNAME\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=jmnyadmin~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=dgyt$rTe21-d~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_HOST=.*$~DB_HOST=mariadb~g' /home/jiminny/.env\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.root\ndatadog-1 | [s6-init] ensuring user provided files have correct perms...exited 0.\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.root\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.migrate\ndatadog-1 | [fix-attrs.d] applying ownership & permissions fixes...\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.root\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.local\ndocker_lamp_1 | + echo ''\ndocker_lamp_1 | + echo 'DB_ADMIN_PASSWORD=dgyt$rTe21-d'\ndocker_lamp_1 | + echo DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | + echo DB_DEV_PASSWORD=rTr4sdQA65-Ad\n\n\ndocker_lamp_1 | + echo DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | + echo DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | + echo DB_ROOT_USERNAME=root\ndocker_lamp_1 | + echo DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | + echo DB_WEB_USERNAME=jmnyweb\n\ndocker_lamp_1 | + [[ false == \\f\\a\\l\\s\\e ]]\ndocker_lamp_1 | + declare COMPOSER_PARAM=--prefer-dist\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndatadog-1 | [fix-attrs.d] done.\ndocker_lamp_1 | + composer install --prefer-dist\ndatadog-1 | [cont-init.d] executing container initialization scripts...\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: executing... \nmariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '0.0.0.0'.\nmariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '::'.\ndatadog-1 | \ndatadog-1 | ==================================================================================\ndatadog-1 | You must set an DD_API_KEY environment variable to run the Datadog Agent container\ndatadog-1 | ==================================================================================\ndatadog-1 | \nmariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: Event Scheduler: Loaded 0 events\nmariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: ready for connections.\nmariadb-1 | Version: '11.4.5-MariaDB-ubu2404' socket: '/run/mysqld/mysqld.sock' port: 3306 mariadb.org binary distribution\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: exited 1.\ndatadog-1 exited with code 1\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:46,369Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"version[7.10.2], pid[7], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:46,372Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:46,372Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60, -Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -XX:+ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI,COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25, -XX:InitiatingHeapOccupancyPercent=30, -Djava.io.tmpdir=/tmp/elasticsearch-11524882932678271334, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jdk=true]\" }\ndocker_lamp_1 | Installing dependencies from lock file (including require-dev)\ndocker_lamp_1 | Verifying lock file contents can be installed on current platform.\ndocker_lamp_1 | Nothing to install, update or remove\ndocker_lamp_1 | Package doctrine/annotations is abandoned, you should avoid using it. No replacement was suggested.\ndocker_lamp_1 | Package symfony/debug is abandoned, you should avoid using it. Use symfony/error-handler instead.\ndocker_lamp_1 | Generating optimized autoload files\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [aggs-matrix-stats]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [analysis-common]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [constant-keyword]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [flattened]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [frozen-indices]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [ingest-common]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [ingest-geoip]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [ingest-user-agent]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [kibana]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [lang-expression]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [lang-mustache]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [lang-painless]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [mapper-extras]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [mapper-version]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [parent-join]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [percolator]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [rank-eval]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [reindex]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [repositories-metering-api]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [repository-url]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [search-business-rules]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [searchable-snapshots]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [spatial]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [transform]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [transport-netty4]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [unsigned-long]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [vectors]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [wildcard]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-analytics]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-async]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-async-search]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-autoscaling]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ccr]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-core]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-data-streams]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-deprecation]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-enrich]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-eql]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-graph]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-identity-provider]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ilm]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-logstash]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ml]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-monitoring]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ql]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-rollup]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-security]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-sql]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-stack]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-voting-only-node]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-watcher]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,731Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"no plugins loaded\" }\nelasticsearch | {\"type\": \"deprecation\", \"timestamp\": \"2026-04-22T09:35:48,822Z\", \"level\": \"DEPRECATION\", \"component\": \"o.e.d.c.s.Settings\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"[node.data] setting was deprecated in Elasticsearch and will be removed in a future release! See the breaking changes documentation for the next major version.\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,850Z\", \"level\": \"INFO\", \"component\": \"o.e.e.NodeEnvironment\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/vda1)]], net usable_space [14.5gb], net total_space [58.3gb], types [ext4]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,850Z\", \"level\": \"INFO\", \"component\": \"o.e.e.NodeEnvironment\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"heap size [700mb], compressed ordinary object pointers [true]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,952Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"node name [e802ad473a4f], node ID [e2ZKzgw4Q4aCf2w5ljWr1A], cluster name [docker-cluster], roles [transform, master, remote_cluster_client, data, ml, data_content, data_hot, data_warm, data_cold, ingest]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:52,516Z\", \"level\": \"INFO\", \"component\": \"o.e.x.m.p.l.CppLogMessageHandler\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"[controller/212] [Main.cc@114] controller (64 bit): Version 7.10.2 (Build 40a3af639d4698) Copyright (c) 2020 Elasticsearch BV\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:54,139Z\", \"level\": \"INFO\", \"component\": \"o.e.t.NettyAllocator\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"creating NettyAllocator with the following configs: [name=unpooled, suggested_max_allocation_size=256kb, factors={es.unsafe.use_unpooled_allocator=null, g1gc_enabled=true, g1gc_region_size=1mb, heap_size=700mb}]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:54,262Z\", \"level\": \"INFO\", \"component\": \"o.e.d.DiscoveryModule\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"using discovery type [single-node] and seed hosts providers [settings]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,012Z\", \"level\": \"WARN\", \"component\": \"o.e.g.DanglingIndicesState\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"gateway.auto_import_dangling_indices is disabled, dangling indices will not be automatically detected or imported and must be managed manually\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,457Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"initialized\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,458Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"starting ...\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,635Z\", \"level\": \"INFO\", \"component\": \"o.e.t.TransportService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"publish_address {172.18.0.2:9300}, bound_addresses {[::]:9300}\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,998Z\", \"level\": \"INFO\", \"component\": \"o.e.c.c.Coordinator\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"cluster UUID [8uh2w1CUSGyWYR_OvaKx6g]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,058Z\", \"level\": \"INFO\", \"component\": \"o.e.c.s.MasterService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"elected-as-master ([1] nodes joined)[{e802ad473a4f}{e2ZKzgw4Q4aCf2w5ljWr1A}{tbalQghkSj60QCFJCQ7wmw}{172.18.0.2}{172.18.0.2:9300}{cdhilmrstw}{ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20} elect leader, _BECOME_MASTER_TASK_, _FINISH_ELECTION_], term: 228, version: 8504, delta: master node changed {previous [], current [{e802ad473a4f}{e2ZKzgw4Q4aCf2w5ljWr1A}{tbalQghkSj60QCFJCQ7wmw}{172.18.0.2}{172.18.0.2:9300}{cdhilmrstw}{ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20}]}\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,134Z\", \"level\": \"INFO\", \"component\": \"o.e.c.s.ClusterApplierService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"master node changed {previous [], current [{e802ad473a4f}{e2ZKzgw4Q4aCf2w5ljWr1A}{tbalQghkSj60QCFJCQ7wmw}{172.18.0.2}{172.18.0.2:9300}{cdhilmrstw}{ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20}]}, term: 228, version: 8504, reason: Publication{term=228, version=8504}\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,183Z\", \"level\": \"INFO\", \"component\": \"o.e.h.AbstractHttpServerTransport\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"publish_address {172.18.0.2:9200}, bound_addresses {[::]:9200}\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,184Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"started\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,507Z\", \"level\": \"INFO\", \"component\": \"o.e.l.LicenseService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"license [85e882e5-5714-4173-a5dd-9baa841494a0] mode [basic] - valid\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,536Z\", \"level\": \"INFO\", \"component\": \"o.e.g.GatewayService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"recovered [15] indices into cluster_state\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nredis | 1:M 22 Apr 2026 09:35:57.698 * DB loaded from append only file: 15.754 seconds\nredis | 1:M 22 Apr 2026 09:35:57.698 * Ready to accept connections\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:58,728Z\", \"level\": \"INFO\", \"component\": \"o.e.c.r.a.AllocationService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"Cluster health status changed from [RED] to [YELLOW] (reason: [shards started [[activities_testing][0]]]).\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:12Z\",\"tags\":[\"info\",\"plugins-service\"],\"pid\":6,\"message\":\"Plugin \\\"visTypeXy\\\" is disabled.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"info\",\"plugins-service\"],\"pid\":6,\"message\":\"Plugin \\\"auditTrail\\\" is disabled.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"config\",\"deprecation\"],\"pid\":6,\"message\":\"Config key [monitoring.cluster_alerts.email_notifications.email_address] will be required for email notifications to work in 8.0.\\\"\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"info\",\"plugins-system\"],\"pid\":6,\"message\":\"Setting up [96] plugins: [taskManager,licensing,globalSearch,globalSearchProviders,code,usageCollection,xpackLegacy,telemetryCollectionManager,telemetry,telemetryCollectionXpack,kibanaUsageCollection,securityOss,newsfeed,mapsLegacy,kibanaLegacy,translations,share,legacyExport,embeddable,uiActionsEnhanced,expressions,data,home,observability,cloud,console,consoleExtensions,apmOss,searchprofiler,painlessLab,grokdebugger,management,indexPatternManagement,advancedSettings,fileUpload,savedObjects,dashboard,visualizations,visTypeTimelion,timelion,features,upgradeAssistant,security,snapshotRestore,encryptedSavedObjects,ingestManager,indexManagement,remoteClusters,crossClusterReplication,indexLifecycleManagement,enterpriseSearch,dashboardMode,beatsManagement,transform,ingestPipelines,maps,licenseManagement,graph,dataEnhanced,visTypeVega,visTypeTable,visTypeMarkdown,tileMap,regionMap,inputControlVis,visualize,esUiShared,bfetch,canvas,charts,lens,visTypeTimeseries,rollup,visTypeVislib,visTypeMetric,visTypeTagcloud,watcher,discover,discoverEnhanced,savedObjectsManagement,spaces,reporting,lists,eventLog,actions,case,alerts,stackAlerts,triggersActionsUi,ml,securitySolution,infra,monitoring,logstash,apm,uptime]\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"security\",\"config\"],\"pid\":6,\"message\":\"Generating a random key for xpack.security.encryptionKey. To prevent sessions from being invalidated on restart, please set xpack.security.encryptionKey in kibana.yml\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"security\",\"config\"],\"pid\":6,\"message\":\"Session cookies will be transmitted over insecure connections. This is not recommended.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"encryptedSavedObjects\",\"config\"],\"pid\":6,\"message\":\"Generating a random key for xpack.encryptedSavedObjects.encryptionKey. To be able to decrypt encrypted saved objects attributes after restart, please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"ingestManager\"],\"pid\":6,\"message\":\"Fleet APIs are disabled due to the Encrypted Saved Objects plugin using an ephemeral encryption key. Please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"reporting\",\"config\"],\"pid\":6,\"message\":\"Generating a random key for xpack.reporting.encryptionKey. To prevent sessions from being invalidated on restart, please set xpack.reporting.encryptionKey in kibana.yml\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"reporting\",\"config\"],\"pid\":6,\"message\":\"Found 'server.host: \\\"0\\\"' in Kibana configuration. This is incompatible with Reporting. To enable Reporting to work, 'xpack.reporting.kibanaServer.hostname: 0.0.0.0' is being automatically to the configuration. You can change the setting to 'server.host: 0.0.0.0' or add 'xpack.reporting.kibanaServer.hostname: 0.0.0.0' in kibana.yml to prevent this message.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"reporting\",\"config\"],\"pid\":6,\"message\":\"Chromium sandbox provides an additional layer of protection, but is not supported for Linux CentOS 8.3.2011\\n OS. Automatically setting 'xpack.reporting.capture.browser.chromium.disableSandbox: true'.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"actions\",\"actions\"],\"pid\":6,\"message\":\"APIs are disabled due to the Encrypted Saved Objects plugin using an ephemeral encryption key. Please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"alerts\",\"plugins\",\"alerting\"],\"pid\":6,\"message\":\"APIs are disabled due to the Encrypted Saved Objects plugin using an ephemeral encryption key. Please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"info\",\"plugins\",\"monitoring\",\"monitoring\"],\"pid\":6,\"message\":\"config sourced from: production cluster\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"info\",\"savedobjects-service\"],\"pid\":6,\"message\":\"Waiting until all Elasticsearch nodes are compatible with Kibana before starting saved objects migrations...\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"info\",\"savedobjects-service\"],\"pid\":6,\"message\":\"Starting saved objects migrations\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:15Z\",\"tags\":[\"info\",\"plugins-system\"],\"pid\":6,\"message\":\"Starting [96] plugins: [taskManager,licensing,globalSearch,globalSearchProviders,code,usageCollection,xpackLegacy,telemetryCollectionManager,telemetry,telemetryCollectionXpack,kibanaUsageCollection,securityOss,newsfeed,mapsLegacy,kibanaLegacy,translations,share,legacyExport,embeddable,uiActionsEnhanced,expressions,data,home,observability,cloud,console,consoleExtensions,apmOss,searchprofiler,painlessLab,grokdebugger,management,indexPatternManagement,advancedSettings,fileUpload,savedObjects,dashboard,visualizations,visTypeTimelion,timelion,features,upgradeAssistant,security,snapshotRestore,encryptedSavedObjects,ingestManager,indexManagement,remoteClusters,crossClusterReplication,indexLifecycleManagement,enterpriseSearch,dashboardMode,beatsManagement,transform,ingestPipelines,maps,licenseManagement,graph,dataEnhanced,visTypeVega,visTypeTable,visTypeMarkdown,tileMap,regionMap,inputControlVis,visualize,esUiShared,bfetch,canvas,charts,lens,visTypeTimeseries,rollup,visTypeVislib,visTypeMetric,visTypeTagcloud,watcher,discover,discoverEnhanced,savedObjectsManagement,spaces,reporting,lists,eventLog,actions,case,alerts,stackAlerts,triggersActionsUi,ml,securitySolution,infra,monitoring,logstash,apm,uptime]\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:15Z\",\"tags\":[\"info\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":6,\"message\":\"TaskManager is identified by the Kibana UUID: bf01f365-e094-4cde-940d-3e0db65fa22a\"}\n\n\nv View in Docker Desktop o View Config w Enable Watch","depth":4,"value":"uck] No stuck transcriptions found.\ndocker_lamp_1 | 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:07:57 Running ['artisan' automated-reports:send] .... 20s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:08:18 Running ['artisan' deal-insights:send-update] . 21s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:08:39 Running ['artisan' ai-crm-notes:delete-old] ... 17s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' ai-crm-notes:delete-old > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:08:57 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 21s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:09:19 Running ['artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00'] 22s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:09:41 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 25s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:10:07 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 23s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:10:30 Running ['artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 16s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:10:46 Running ['artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00'] 18s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:11:05 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:11:05 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:06 Jiminny\\Jobs\\Activity\\SyncActivity ............. 1s DONE\ndocker_lamp_1 | 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 16s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:11:21 Running ['artisan' nudges:send --silent] ...... 18s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:11:39 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-22 07:11:41 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:42 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 1s DONE\ndocker_lamp_1 | 2026-04-22 07:11:43 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:43 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 176.40ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 119.77ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 87.67ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:44 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 96.68ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 136.76ms DONE\ndocker_lamp_1 | 2026-04-22 07:11:45 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob RUNNING\ndocker_lamp_1 | 2026-04-22 07:11:46 Jiminny\\Component\\Nudge\\Job\\ProcessUserNudgesJob 98.44ms DONE\ndocker_lamp_1 | 23s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:13:19 Running ['artisan' meeting-bot:schedule-bot] .. 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:13:39 Running ['artisan' dialers:monitor-activities] 18s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:13:58 Running ['artisan' jiminny:monitor-social-accounts] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:14:07 Running ['artisan' mailbox:skip-lists:refresh] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:14:13 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 21.68ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-22 07:14:35 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-22 07:14:37 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... 1s DONE\ndocker_lamp_1 | 2026-04-22 07:14:39 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 2026-04-22 07:14:40 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 579.61ms DONE\ndocker_lamp_1 | 2026-04-22 07:14:40 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents ....... RUNNING\ndocker_lamp_1 | 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:14:40 Jiminny\\Jobs\\Calendar\\SyncCalendarEvents . 246.84ms DONE\ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:15:11 Running ['artisan' meeting-bot:schedule-bot] .. 10s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:22 Running ['artisan' dialers:monitor-activities] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:29 Running ['artisan' jiminny:monitor-social-accounts] 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:36 Running ['artisan' mailbox:skip-lists:refresh] . 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:43 Running ['artisan' mailbox:batch:process --max-batches=15] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:15:52 Running ['artisan' activity:purge-stale] ....... 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:00 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | .... 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:08 Running ['artisan' conference:pre-meeting-notification] 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:15 Running ['artisan' conference:monitor:start] ... 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:23 Running ['artisan' conference:monitor:end] ..... 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:29 Running ['artisan' jiminny:fix-hubspot-tokens] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' conference:pre-meeting-reminder] in background 5.45ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' hubspot:journal-poll --start] in background 2.23ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' datadog:report:processing-sla-activities] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:45 Running ['artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀\u0000 Starting HubSpot journal polling service...\ndocker_lamp_1 | 2026-04-22 07:16:53 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:54 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:16:54 Jiminny\\Jobs\\Activity\\SyncActivity ....... 324.50ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:54 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ....... 822.28ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ....... 757.78ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:55 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:56 Jiminny\\Jobs\\Activity\\SyncActivity ....... 734.01ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:56 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:57 Jiminny\\Jobs\\Activity\\SyncActivity ....... 696.17ms DONE\ndocker_lamp_1 | 2026-04-22 07:16:57 Jiminny\\Jobs\\Activity\\SyncActivity ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:16:57 Jiminny\\Jobs\\Activity\\SyncActivity ....... 448.22ms DONE\ndocker_lamp_1 | 0 social account(s) to be processed ...\ndocker_lamp_1 | \ndocker_lamp_1 | Done!\ndocker_lamp_1 | 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:16:59 Running ['artisan' nudges:send --silent] ....... 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:17:05 Running ['artisan' jiminny:playlists:normalize-sort] 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:18:05 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:11 Running ['artisan' dialers:monitor-activities] . 6s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:17 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:22 Running ['artisan' mailbox:skip-lists:refresh] . 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:28 Running ['artisan' mailbox:batch:process --max-batches=15] 4s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:33 Running ['artisan' conference:monitor:count] ... 5s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 6.33ms DONE\ndocker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish \"framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11\" \"$?\") > '/dev/null' 2>&1 & \ndocker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams: \ndocker_lamp_1 | ........ 9s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:19:14 Running ['artisan' meeting-bot:schedule-bot] .. 22s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:19:37 Running ['artisan' dialers:monitor-activities] 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:19:57 Running ['artisan' jiminny:monitor-social-accounts] 19s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:20:16 Running ['artisan' mailbox:skip-lists:refresh] 23s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:20:40 Running ['artisan' mailbox:batch:process --max-batches=15] 21s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:22:12 Running ['artisan' meeting-bot:schedule-bot] .. 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:23 Running ['artisan' dialers:monitor-activities] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:35 Running ['artisan' jiminny:monitor-social-accounts] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:47 Running ['artisan' mailbox:skip-lists:refresh] . 9s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:22:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:09 Running ['artisan' conference:monitor:count] .. 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:21 Running ['artisan' mailbox:batch:create] ...... 16s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:37 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00'] 2026-04-22 07:23:38 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. RUNNING\ndocker_lamp_1 | 2026-04-22 07:23:40 Jiminny\\Jobs\\Mailbox\\CreateBatches ............. 1s DONE\ndocker_lamp_1 | 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00' > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:23:49 Running ['artisan' twilio:recover-tracks] ..... 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' twilio:recover-tracks > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:24:01 Running ['artisan' dialers:sync-users] ........ 15s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:sync-users > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:24:16 Running ['artisan' datadog:report:failed-processing-states] 8s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:failed-processing-states > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | \ndocker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run\ndocker_lamp_1 | \ndocker_lamp_1 | 2026-04-22 07:25:10 Running ['artisan' meeting-bot:schedule-bot] ... 7s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:18 Running ['artisan' dialers:monitor-activities] 14s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:32 Running ['artisan' jiminny:monitor-social-accounts] 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:44 Running ['artisan' mailbox:skip-lists:refresh] 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:25:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:26:09 Running ['artisan' activity:purge-stale] ...... 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1 \ndocker_lamp_1 | 2026-04-22 07:26:20 Running ['artisan' mailbox:text-relay:sync] {\ndocker_lamp_1 | \"error\": \"invalid_request\",\ndocker_lamp_1 | \"error_description\": \"Invalid impersonation \\u0026quot;sub\\u0026quot; field: @\"\ndocker_lamp_1 | }\ndocker_lamp_1 | ... 11s DONE\ndocker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1 \nunexpected EOF\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \nAttaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis\nmariadb-1 | 2026-04-22 09:35:41+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\nredis | 1:C 22 Apr 2026 09:35:41.939 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo\nredis | 1:C 22 Apr 2026 09:35:41.940 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started\nredis | 1:C 22 Apr 2026 09:35:41.940 # Configuration loaded\nredis | 1:M 22 Apr 2026 09:35:41.942 * Running mode=standalone, port=6379.\nredis | 1:M 22 Apr 2026 09:35:41.942 # Server initialized\nredis | 1:M 22 Apr 2026 09:35:41.942 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.\nredis | 1:M 22 Apr 2026 09:35:41.946 * Reading RDB preamble from AOF file...\nredis | 1:M 22 Apr 2026 09:35:41.953 * Reading the remaining AOF tail...\nblackfire-1 | [2026-04-22T09:35:42Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.\nblackfire-1 | usage blackfire-agent [options]\nblackfire-1 | --collector=\"https://blackfire.io\": Sets the URL of Blackfire's data collector\nblackfire-1 | --config=\"/etc/blackfire/agent\": Sets the path to the configuration file\nblackfire-1 | -d: Prints the current configuration\nblackfire-1 | --http-proxy=\"\": Sets the HTTP proxy to use\nblackfire-1 | --https-proxy=\"\": Sets the HTTPS proxy to use\nblackfire-1 | --log-file=\"stderr\": Sets the path of the log file. Use stderr to log to stderr\nblackfire-1 | --log-level=\"1\": log verbosity level (4: debug, 3: info, 2: warning, 1: error)\nblackfire-1 | --register: Helps you with registering the agent\nblackfire-1 | --server-id=\"\": Sets the server id used to authenticate with Blackfire API\nblackfire-1 | --server-token=\"\": Sets the server token used to authenticate with Blackfire API. It is unsafe to set this from the command line\nblackfire-1 | --socket=\"unix:///var/run/blackfire/agent.sock\": Sets the socket the agent should read traces from. Possible value can be a unix socket or a TCP address. ie: unix:///var/run/blackfire/agent.sock or tcp://127.0.0.1:8307\nblackfire-1 | --test: Tests the configuration\nblackfire-1 | --timeout=\"15s\": Sets the Blackfire connection timeout\nblackfire-1 | -v: Prints the version number\nblackfire-1 exited with code 1\njiminny_ext-1 exited with code 0\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"no configuration paths supplied\"\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"using configuration at default config path\" path=/home/ngrok/.ngrok2/ngrok.yml\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"open config file\" path=/home/ngrok/.ngrok2/ngrok.yml err=nil\nngrok | t=2026-04-22T09:35:42+0000 lvl=info msg=\"starting web service\" obj=web addr=0.0.0.0:4040\ndocker_lamp_1 | + main\ndocker_lamp_1 | + declare START_DIR\ndocker_lamp_1 | +++ realpath /scripts/init-dev\ndocker_lamp_1 | ++ dirname /scripts/init-dev\ndocker_lamp_1 | + START_DIR=/scripts\ndocker_lamp_1 | + readonly START_DIR\ndocker_lamp_1 | + source /scripts/storage_init.sh\ndocker_lamp_1 | ++ set -o errexit\ndocker_lamp_1 | ++ set -o nounset\ndocker_lamp_1 | ++ set -o pipefail\ndocker_lamp_1 | + create_bind_mount\ndocker_lamp_1 | + [[ 0 == \\1 ]]\ndocker_lamp_1 | + configure_xdebug\ndocker_lamp_1 | + j2 /root/.j2_templates/xdebug/xdebug.ini.j2\nmariadb-1 | 2026-04-22 09:35:42+00:00 [Warn] [Entrypoint]: /sys/fs/cgroup///memory.pressure not writable, functionality unavailable to MariaDB\nmariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Switching to dedicated user 'mysql'\nmariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\ndatadog-1 | [s6-init] making user provided files available at /var/run/s6/etc...exited 0.\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"tunnel session started\" obj=tunnels.session\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"client session established\" obj=csess id=aae2f3a00790\nmariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade information missing, assuming required\nmariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade (mariadb-upgrade or creating healthcheck users) required, but skipped due to $MARIADB_AUTO_UPGRADE setting\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] Starting MariaDB 11.4.5-MariaDB-ubu2404 source revision 0771110266ff5c04216af4bf1243c65f8c67ccf4 server_uid QGneL+sEtMZwOWu0c63tUMw7/Pc= as process 1\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Compressed tables use zlib 1.3\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Number of transaction pools: 1\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using ARMv8 crc32 + pmull instructions\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using liburing\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Initializing buffer pool, total size = 128.000MiB, chunk size = 2.000MiB\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Completed initialization of buffer pool\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File system buffers for log disabled (block size=512 bytes)\ndocker_lamp_1 | + configure_blackfire\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/extension.ini.j2\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=\"command_line (http)\" addr=http://lamp:3080 url=http://lukask.ngrok.io\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=command_line addr=http://lamp:3080 url=https://lukask.ngrok.io\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: End of log at LSN=7617138414\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Opened 3 undo tablespaces\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: 128 rollback segments in 3 undo tablespaces are active.\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Setting file './ibtmp1' size to 12.000MiB. Physically writing the file full; Please wait ...\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File './ibtmp1' size is now 12.000MiB.\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: log sequence number 7617138414; transaction id 11488399\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Loading buffer pool(s) from /var/lib/mysql/ib_buffer_pool\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'FEEDBACK' is disabled.\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'wsrep-provider' is disabled.\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/cli.ini.j2\nngrok | t=2026-04-22T09:35:43+0000 lvl=info msg=\"update available\" obj=updater\ndocker_lamp_1 | + declare EMPTY_DB\ndocker_lamp_1 | + db_is_empty\ndocker_lamp_1 | ++ wc -l\ndocker_lamp_1 | ++ find /var/lib/mysql/ -maxdepth 1\nmariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Buffer pool(s) load completed at 260422 9:35:43\ndocker_lamp_1 | + [[ 11 -lt 5 ]]\ndocker_lamp_1 | + EMPTY_DB=0\ndocker_lamp_1 | + readonly EMPTY_DB\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndocker_lamp_1 | + [[ local == \\l\\o\\c\\a\\l ]]\ndocker_lamp_1 | + set_nginx_domain dev.jiminny.com\ndocker_lamp_1 | + declare -r DOMAIN_NAME=dev.jiminny.com\ndocker_lamp_1 | + cp -f /etc/nginx/nginx_template.conf /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_DOMAIN~app.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_EXT_DOMAIN~ext.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_WEB_DOMAIN~www.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n 3399 ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext:8080~http://jiminny_ext:3399~g' /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n host.docker.internal ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext~http://host.docker.internal~g' /etc/nginx/nginx.conf\ndocker_lamp_1 | + build_dev\ndocker_lamp_1 | + cd /home/jiminny/\ndocker_lamp_1 | + create_dot_env_local_file\ndocker_lamp_1 | + cp -f /home/jiminny/.env.local /home/jiminny/.env.local.bak\ndocker_lamp_1 | + create_dot_env\ndocker_lamp_1 | + [[ -f /home/jiminny/.env ]]\ndocker_lamp_1 | + return\ndocker_lamp_1 | + declare DB_ADMIN_PASSWORD\ndocker_lamp_1 | + declare DB_ADMIN_USERNAME\ndocker_lamp_1 | + declare DB_DEV_PASSWORD\ndocker_lamp_1 | + declare DB_DEV_USERNAME\ndocker_lamp_1 | + declare DB_ROOT_PASSWORD\ndocker_lamp_1 | + declare DB_ROOT_USERNAME\ndocker_lamp_1 | + declare DB_WEB_PASSWORD\ndocker_lamp_1 | + declare DB_WEB_USERNAME\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ADMIN_PASSWORD='dgyt$rTe21-d'\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | ++ jq -r .DB_DEV_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_PASSWORD=rTr4sdQA65-Ad\ndocker_lamp_1 | ++ jq -r .DB_DEV_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | ++ jq -r .DB_ROOT_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | ++ jq -r .DB_ROOT_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ROOT_USERNAME=root\ndocker_lamp_1 | ++ jq -r .DB_WEB_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | ++ jq -r .DB_WEB_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_WEB_USERNAME=jmnyweb\ndocker_lamp_1 | + readonly DB_ADMIN_PASSWORD\ndocker_lamp_1 | + readonly DB_ADMIN_USERNAME\ndocker_lamp_1 | + readonly DB_DEV_PASSWORD\ndocker_lamp_1 | + readonly DB_DEV_USERNAME\ndocker_lamp_1 | + readonly DB_ROOT_PASSWORD\ndocker_lamp_1 | + readonly DB_ROOT_USERNAME\ndocker_lamp_1 | + readonly DB_WEB_PASSWORD\ndocker_lamp_1 | + readonly DB_WEB_USERNAME\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=jmnyadmin~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=dgyt$rTe21-d~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_HOST=.*$~DB_HOST=mariadb~g' /home/jiminny/.env\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.root\ndatadog-1 | [s6-init] ensuring user provided files have correct perms...exited 0.\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.root\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.migrate\ndatadog-1 | [fix-attrs.d] applying ownership & permissions fixes...\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.root\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.local\ndocker_lamp_1 | + echo ''\ndocker_lamp_1 | + echo 'DB_ADMIN_PASSWORD=dgyt$rTe21-d'\ndocker_lamp_1 | + echo DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | + echo DB_DEV_PASSWORD=rTr4sdQA65-Ad\n\n\ndocker_lamp_1 | + echo DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | + echo DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | + echo DB_ROOT_USERNAME=root\ndocker_lamp_1 | + echo DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | + echo DB_WEB_USERNAME=jmnyweb\n\ndocker_lamp_1 | + [[ false == \\f\\a\\l\\s\\e ]]\ndocker_lamp_1 | + declare COMPOSER_PARAM=--prefer-dist\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndatadog-1 | [fix-attrs.d] done.\ndocker_lamp_1 | + composer install --prefer-dist\ndatadog-1 | [cont-init.d] executing container initialization scripts...\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: executing... \nmariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '0.0.0.0'.\nmariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '::'.\ndatadog-1 | \ndatadog-1 | ==================================================================================\ndatadog-1 | You must set an DD_API_KEY environment variable to run the Datadog Agent container\ndatadog-1 | ==================================================================================\ndatadog-1 | \nmariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: Event Scheduler: Loaded 0 events\nmariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: ready for connections.\nmariadb-1 | Version: '11.4.5-MariaDB-ubu2404' socket: '/run/mysqld/mysqld.sock' port: 3306 mariadb.org binary distribution\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: exited 1.\ndatadog-1 exited with code 1\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:46,369Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"version[7.10.2], pid[7], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:46,372Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:46,372Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60, -Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -XX:+ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI,COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25, -XX:InitiatingHeapOccupancyPercent=30, -Djava.io.tmpdir=/tmp/elasticsearch-11524882932678271334, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jdk=true]\" }\ndocker_lamp_1 | Installing dependencies from lock file (including require-dev)\ndocker_lamp_1 | Verifying lock file contents can be installed on current platform.\ndocker_lamp_1 | Nothing to install, update or remove\ndocker_lamp_1 | Package doctrine/annotations is abandoned, you should avoid using it. No replacement was suggested.\ndocker_lamp_1 | Package symfony/debug is abandoned, you should avoid using it. Use symfony/error-handler instead.\ndocker_lamp_1 | Generating optimized autoload files\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [aggs-matrix-stats]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [analysis-common]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [constant-keyword]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [flattened]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [frozen-indices]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,723Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [ingest-common]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [ingest-geoip]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [ingest-user-agent]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [kibana]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [lang-expression]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [lang-mustache]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [lang-painless]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,724Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [mapper-extras]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [mapper-version]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [parent-join]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [percolator]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [rank-eval]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [reindex]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [repositories-metering-api]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [repository-url]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [search-business-rules]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,725Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [searchable-snapshots]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [spatial]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [transform]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [transport-netty4]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [unsigned-long]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [vectors]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,727Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [wildcard]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-analytics]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-async]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-async-search]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-autoscaling]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ccr]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-core]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-data-streams]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-deprecation]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-enrich]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-eql]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-graph]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,728Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-identity-provider]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ilm]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-logstash]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ml]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-monitoring]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,729Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-ql]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-rollup]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-security]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-sql]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-stack]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-voting-only-node]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,730Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"loaded module [x-pack-watcher]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,731Z\", \"level\": \"INFO\", \"component\": \"o.e.p.PluginsService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"no plugins loaded\" }\nelasticsearch | {\"type\": \"deprecation\", \"timestamp\": \"2026-04-22T09:35:48,822Z\", \"level\": \"DEPRECATION\", \"component\": \"o.e.d.c.s.Settings\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"[node.data] setting was deprecated in Elasticsearch and will be removed in a future release! See the breaking changes documentation for the next major version.\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,850Z\", \"level\": \"INFO\", \"component\": \"o.e.e.NodeEnvironment\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/vda1)]], net usable_space [14.5gb], net total_space [58.3gb], types [ext4]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,850Z\", \"level\": \"INFO\", \"component\": \"o.e.e.NodeEnvironment\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"heap size [700mb], compressed ordinary object pointers [true]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:48,952Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"node name [e802ad473a4f], node ID [e2ZKzgw4Q4aCf2w5ljWr1A], cluster name [docker-cluster], roles [transform, master, remote_cluster_client, data, ml, data_content, data_hot, data_warm, data_cold, ingest]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:52,516Z\", \"level\": \"INFO\", \"component\": \"o.e.x.m.p.l.CppLogMessageHandler\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"[controller/212] [Main.cc@114] controller (64 bit): Version 7.10.2 (Build 40a3af639d4698) Copyright (c) 2020 Elasticsearch BV\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:54,139Z\", \"level\": \"INFO\", \"component\": \"o.e.t.NettyAllocator\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"creating NettyAllocator with the following configs: [name=unpooled, suggested_max_allocation_size=256kb, factors={es.unsafe.use_unpooled_allocator=null, g1gc_enabled=true, g1gc_region_size=1mb, heap_size=700mb}]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:54,262Z\", \"level\": \"INFO\", \"component\": \"o.e.d.DiscoveryModule\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"using discovery type [single-node] and seed hosts providers [settings]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,012Z\", \"level\": \"WARN\", \"component\": \"o.e.g.DanglingIndicesState\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"gateway.auto_import_dangling_indices is disabled, dangling indices will not be automatically detected or imported and must be managed manually\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,457Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"initialized\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,458Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"starting ...\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,635Z\", \"level\": \"INFO\", \"component\": \"o.e.t.TransportService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"publish_address {172.18.0.2:9300}, bound_addresses {[::]:9300}\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:55,998Z\", \"level\": \"INFO\", \"component\": \"o.e.c.c.Coordinator\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"cluster UUID [8uh2w1CUSGyWYR_OvaKx6g]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,058Z\", \"level\": \"INFO\", \"component\": \"o.e.c.s.MasterService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"elected-as-master ([1] nodes joined)[{e802ad473a4f}{e2ZKzgw4Q4aCf2w5ljWr1A}{tbalQghkSj60QCFJCQ7wmw}{172.18.0.2}{172.18.0.2:9300}{cdhilmrstw}{ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20} elect leader, _BECOME_MASTER_TASK_, _FINISH_ELECTION_], term: 228, version: 8504, delta: master node changed {previous [], current [{e802ad473a4f}{e2ZKzgw4Q4aCf2w5ljWr1A}{tbalQghkSj60QCFJCQ7wmw}{172.18.0.2}{172.18.0.2:9300}{cdhilmrstw}{ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20}]}\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,134Z\", \"level\": \"INFO\", \"component\": \"o.e.c.s.ClusterApplierService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"master node changed {previous [], current [{e802ad473a4f}{e2ZKzgw4Q4aCf2w5ljWr1A}{tbalQghkSj60QCFJCQ7wmw}{172.18.0.2}{172.18.0.2:9300}{cdhilmrstw}{ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20}]}, term: 228, version: 8504, reason: Publication{term=228, version=8504}\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,183Z\", \"level\": \"INFO\", \"component\": \"o.e.h.AbstractHttpServerTransport\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"publish_address {172.18.0.2:9200}, bound_addresses {[::]:9200}\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,184Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"started\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,507Z\", \"level\": \"INFO\", \"component\": \"o.e.l.LicenseService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"license [85e882e5-5714-4173-a5dd-9baa841494a0] mode [basic] - valid\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:56,536Z\", \"level\": \"INFO\", \"component\": \"o.e.g.GatewayService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"recovered [15] indices into cluster_state\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nredis | 1:M 22 Apr 2026 09:35:57.698 * DB loaded from append only file: 15.754 seconds\nredis | 1:M 22 Apr 2026 09:35:57.698 * Ready to accept connections\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-04-22T09:35:58,728Z\", \"level\": \"INFO\", \"component\": \"o.e.c.r.a.AllocationService\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"Cluster health status changed from [RED] to [YELLOW] (reason: [shards started [[activities_testing][0]]]).\", \"cluster.uuid\": \"8uh2w1CUSGyWYR_OvaKx6g\", \"node.id\": \"e2ZKzgw4Q4aCf2w5ljWr1A\" }\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:12Z\",\"tags\":[\"info\",\"plugins-service\"],\"pid\":6,\"message\":\"Plugin \\\"visTypeXy\\\" is disabled.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"info\",\"plugins-service\"],\"pid\":6,\"message\":\"Plugin \\\"auditTrail\\\" is disabled.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"config\",\"deprecation\"],\"pid\":6,\"message\":\"Config key [monitoring.cluster_alerts.email_notifications.email_address] will be required for email notifications to work in 8.0.\\\"\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"info\",\"plugins-system\"],\"pid\":6,\"message\":\"Setting up [96] plugins: [taskManager,licensing,globalSearch,globalSearchProviders,code,usageCollection,xpackLegacy,telemetryCollectionManager,telemetry,telemetryCollectionXpack,kibanaUsageCollection,securityOss,newsfeed,mapsLegacy,kibanaLegacy,translations,share,legacyExport,embeddable,uiActionsEnhanced,expressions,data,home,observability,cloud,console,consoleExtensions,apmOss,searchprofiler,painlessLab,grokdebugger,management,indexPatternManagement,advancedSettings,fileUpload,savedObjects,dashboard,visualizations,visTypeTimelion,timelion,features,upgradeAssistant,security,snapshotRestore,encryptedSavedObjects,ingestManager,indexManagement,remoteClusters,crossClusterReplication,indexLifecycleManagement,enterpriseSearch,dashboardMode,beatsManagement,transform,ingestPipelines,maps,licenseManagement,graph,dataEnhanced,visTypeVega,visTypeTable,visTypeMarkdown,tileMap,regionMap,inputControlVis,visualize,esUiShared,bfetch,canvas,charts,lens,visTypeTimeseries,rollup,visTypeVislib,visTypeMetric,visTypeTagcloud,watcher,discover,discoverEnhanced,savedObjectsManagement,spaces,reporting,lists,eventLog,actions,case,alerts,stackAlerts,triggersActionsUi,ml,securitySolution,infra,monitoring,logstash,apm,uptime]\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"security\",\"config\"],\"pid\":6,\"message\":\"Generating a random key for xpack.security.encryptionKey. To prevent sessions from being invalidated on restart, please set xpack.security.encryptionKey in kibana.yml\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"security\",\"config\"],\"pid\":6,\"message\":\"Session cookies will be transmitted over insecure connections. This is not recommended.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"encryptedSavedObjects\",\"config\"],\"pid\":6,\"message\":\"Generating a random key for xpack.encryptedSavedObjects.encryptionKey. To be able to decrypt encrypted saved objects attributes after restart, please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:13Z\",\"tags\":[\"warning\",\"plugins\",\"ingestManager\"],\"pid\":6,\"message\":\"Fleet APIs are disabled due to the Encrypted Saved Objects plugin using an ephemeral encryption key. Please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"reporting\",\"config\"],\"pid\":6,\"message\":\"Generating a random key for xpack.reporting.encryptionKey. To prevent sessions from being invalidated on restart, please set xpack.reporting.encryptionKey in kibana.yml\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"reporting\",\"config\"],\"pid\":6,\"message\":\"Found 'server.host: \\\"0\\\"' in Kibana configuration. This is incompatible with Reporting. To enable Reporting to work, 'xpack.reporting.kibanaServer.hostname: 0.0.0.0' is being automatically to the configuration. You can change the setting to 'server.host: 0.0.0.0' or add 'xpack.reporting.kibanaServer.hostname: 0.0.0.0' in kibana.yml to prevent this message.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"reporting\",\"config\"],\"pid\":6,\"message\":\"Chromium sandbox provides an additional layer of protection, but is not supported for Linux CentOS 8.3.2011\\n OS. Automatically setting 'xpack.reporting.capture.browser.chromium.disableSandbox: true'.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"actions\",\"actions\"],\"pid\":6,\"message\":\"APIs are disabled due to the Encrypted Saved Objects plugin using an ephemeral encryption key. Please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"warning\",\"plugins\",\"alerts\",\"plugins\",\"alerting\"],\"pid\":6,\"message\":\"APIs are disabled due to the Encrypted Saved Objects plugin using an ephemeral encryption key. Please set xpack.encryptedSavedObjects.encryptionKey in kibana.yml.\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"info\",\"plugins\",\"monitoring\",\"monitoring\"],\"pid\":6,\"message\":\"config sourced from: production cluster\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"info\",\"savedobjects-service\"],\"pid\":6,\"message\":\"Waiting until all Elasticsearch nodes are compatible with Kibana before starting saved objects migrations...\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:14Z\",\"tags\":[\"info\",\"savedobjects-service\"],\"pid\":6,\"message\":\"Starting saved objects migrations\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:15Z\",\"tags\":[\"info\",\"plugins-system\"],\"pid\":6,\"message\":\"Starting [96] plugins: [taskManager,licensing,globalSearch,globalSearchProviders,code,usageCollection,xpackLegacy,telemetryCollectionManager,telemetry,telemetryCollectionXpack,kibanaUsageCollection,securityOss,newsfeed,mapsLegacy,kibanaLegacy,translations,share,legacyExport,embeddable,uiActionsEnhanced,expressions,data,home,observability,cloud,console,consoleExtensions,apmOss,searchprofiler,painlessLab,grokdebugger,management,indexPatternManagement,advancedSettings,fileUpload,savedObjects,dashboard,visualizations,visTypeTimelion,timelion,features,upgradeAssistant,security,snapshotRestore,encryptedSavedObjects,ingestManager,indexManagement,remoteClusters,crossClusterReplication,indexLifecycleManagement,enterpriseSearch,dashboardMode,beatsManagement,transform,ingestPipelines,maps,licenseManagement,graph,dataEnhanced,visTypeVega,visTypeTable,visTypeMarkdown,tileMap,regionMap,inputControlVis,visualize,esUiShared,bfetch,canvas,charts,lens,visTypeTimeseries,rollup,visTypeVislib,visTypeMetric,visTypeTagcloud,watcher,discover,discoverEnhanced,savedObjectsManagement,spaces,reporting,lists,eventLog,actions,case,alerts,stackAlerts,triggersActionsUi,ml,securitySolution,infra,monitoring,logstash,apm,uptime]\"}\nkibana | {\"type\":\"log\",\"@timestamp\":\"2026-04-22T09:36:15Z\",\"tags\":[\"info\",\"plugins\",\"taskManager\",\"taskManager\"],\"pid\":6,\"message\":\"TaskManager is identified by the Kibana UUID: bf01f365-e094-4cde-940d-3e0db65fa22a\"}\n\n\nv View in Docker Desktop o View Config w Enable Watch","is_focused":true},{"role":"AXButton","text":"Menu","depth":3,"bounds":{"left":0.48472223,"top":0.08944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥1 DOCKER (docker-compose)","depth":3,"bounds":{"left":0.01875,"top":0.09,"width":0.4625,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Mon Apr 20 19:47:56 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 06:17:09 UTC 2026\n\n System load: 0.0 Processes: 126\n Usage of /: 58.6% of 7.57GB Users logged in: 2\n Memory usage: 36% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n37 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 20 15:14:15 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Wed Apr 22 08:09:37 UTC 2026\n\n System load: 0.0 Processes: 158\n Usage of /: 58.7% of 7.57GB Users logged in: 7\n Memory usage: 41% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n37 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 21 06:17:09 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","depth":5,"value":"Last login: Mon Apr 20 19:47:56 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 06:17:09 UTC 2026\n\n System load: 0.0 Processes: 126\n Usage of /: 58.6% of 7.57GB Users logged in: 2\n Memory usage: 36% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n37 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 20 15:14:15 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Wed Apr 22 08:09:37 UTC 2026\n\n System load: 0.0 Processes: 158\n Usage of /: 58.7% of 7.57GB Users logged in: 7\n Memory usage: 41% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n37 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 21 06:17:09 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.08944444,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥2 PROD (ssh)","depth":4,"bounds":{"left":0.51875,"top":0.09,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Mon Apr 20 19:48:03 on ttys001\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ eu\n(lukas@jiminny-eu-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1047-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 06:17:15 UTC 2026\n\n System load: 0.0 Processes: 119\n Usage of /: 58.0% of 7.57GB Users logged in: 2\n Memory usage: 19% IPv4 address for eth0: 10.20.163.228\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 20 15:14:23 2026 from 212.5.153.87\nlukas@jiminny-eu-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ eu\n(lukas@jiminny-eu-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1047-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 16:24:08 UTC 2026\n\n System load: 0.0 Processes: 139\n Usage of /: 58.0% of 7.57GB Users logged in: 3\n Memory usage: 21% IPv4 address for eth0: 10.20.163.228\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 21 06:17:16 2026 from 212.5.153.87\nlukas@jiminny-eu-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ eu\n(lukas@jiminny-eu-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1047-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Wed Apr 22 08:09:45 UTC 2026\n\n System load: 0.0 Processes: 133\n Usage of /: 58.7% of 7.57GB Users logged in: 4\n Memory usage: 21% IPv4 address for eth0: 10.20.163.228\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 21 16:24:08 2026 from 212.5.153.87\nlukas@jiminny-eu-bastion:~$","depth":5,"value":"Last login: Mon Apr 20 19:48:03 on ttys001\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ eu\n(lukas@jiminny-eu-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1047-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 06:17:15 UTC 2026\n\n System load: 0.0 Processes: 119\n Usage of /: 58.0% of 7.57GB Users logged in: 2\n Memory usage: 19% IPv4 address for eth0: 10.20.163.228\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 20 15:14:23 2026 from 212.5.153.87\nlukas@jiminny-eu-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ eu\n(lukas@jiminny-eu-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1047-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 16:24:08 UTC 2026\n\n System load: 0.0 Processes: 139\n Usage of /: 58.0% of 7.57GB Users logged in: 3\n Memory usage: 21% IPv4 address for eth0: 10.20.163.228\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 21 06:17:16 2026 from 212.5.153.87\nlukas@jiminny-eu-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ eu\n(lukas@jiminny-eu-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1047-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Wed Apr 22 08:09:45 UTC 2026\n\n System load: 0.0 Processes: 133\n Usage of /: 58.7% of 7.57GB Users logged in: 4\n Memory usage: 21% IPv4 address for eth0: 10.20.163.228\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 21 16:24:08 2026 from 212.5.153.87\nlukas@jiminny-eu-bastion:~$","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.23944445,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥3 EU (ssh)","depth":4,"bounds":{"left":0.51875,"top":0.24,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Mon Apr 20 19:48:04 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\n(lukas@jiminny-stage-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1052-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 14:39:05 UTC 2026\n\n System load: 0.0 Processes: 137\n Usage of /: 57.6% of 7.57GB Users logged in: 4\n Memory usage: 30% IPv4 address for ens5: 10.30.46.154\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\nLast login: Thu Apr 16 07:34:39 2026 from 212.39.71.189\nlukas@jiminny-stage-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"value":"Last login: Mon Apr 20 19:48:04 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\n(lukas@jiminny-stage-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1052-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Tue Apr 21 14:39:05 UTC 2026\n\n System load: 0.0 Processes: 137\n Usage of /: 57.6% of 7.57GB Users logged in: 4\n Memory usage: 30% IPv4 address for ens5: 10.30.46.154\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n85 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\nLast login: Thu Apr 16 07:34:39 2026 from 212.39.71.189\nlukas@jiminny-stage-bastion:~$ client_loop: send disconnect: Broken pipe\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98541665,"top":0.40944445,"width":0.010416667,"height":0.016666668},"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"⌥4 STAGE (-zsh)","depth":4,"bounds":{"left":0.51875,"top":0.41,"width":0.46319443,"height":0.015555556},"role_description":"text"},{"role":"AXTextArea","text":"Last login: Mon Apr 20 19:48:04 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5,"top":0.56222224,"width":0.5,"height":0.1388889},"value":"Last login: Mon Apr 20 19:48:04 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ 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7342620269271158063
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-7188691073974088946
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visual_change
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accessibility
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NULL
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uck] No stuck transcriptions found.
docker_lamp_1 uck] No stuck transcriptions found.
docker_lamp_1 | 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:transcription:retry-stuck > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:07:57 Running ['artisan' automated-reports:send] .... 20s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' automated-reports:send > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:08:18 Running ['artisan' deal-insights:send-update] . 21s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' deal-insights:send-update > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:08:39 Running ['artisan' ai-crm-notes:delete-old] ... 17s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' ai-crm-notes:delete-old > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:08:57 Running ['artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 21s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloud-talk' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:09:19 Running ['artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00'] 22s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'vonage' --from='2026-04-22 01:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:09:41 Running ['artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 25s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:10:07 Running ['artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 23s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'cloudcall-us' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:10:30 Running ['artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00'] 16s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'five-nine' --from='2026-04-22 04:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:10:46 Running ['artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00'] 18s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'hubspot' --from='2026-04-22 06:00:00' --to='2026-04-22 07:00:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:11:05 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:11:05 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:11:06 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 16s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:11:21 Running ['artisan' nudges:send --silent] ...... 18s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:11:39 Running ['artisan' jiminny:playlists:normalize-sort] 2026-04-22 07:11:41 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:42 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 1s DONE
docker_lamp_1 | 2026-04-22 07:11:43 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:43 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 176.40ms DONE
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 119.77ms DONE
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 87.67ms DONE
docker_lamp_1 | 2026-04-22 07:11:44 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 96.68ms DONE
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 136.76ms DONE
docker_lamp_1 | 2026-04-22 07:11:45 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob RUNNING
docker_lamp_1 | 2026-04-22 07:11:46 Jiminny\Component\Nudge\Job\ProcessUserNudgesJob 98.44ms DONE
docker_lamp_1 | 23s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:13:19 Running ['artisan' meeting-bot:schedule-bot] .. 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:13:39 Running ['artisan' dialers:monitor-activities] 18s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:13:58 Running ['artisan' jiminny:monitor-social-accounts] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:14:07 Running ['artisan' mailbox:skip-lists:refresh] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:14:13 Running ['artisan' mailbox:batch:process --max-batches=15] 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 21.68ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:14:20 Running ['artisan' calendar:sync --dateMode=daily] 2026-04-22 07:14:35 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-22 07:14:37 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... 1s DONE
docker_lamp_1 | 2026-04-22 07:14:39 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 2026-04-22 07:14:40 Jiminny\Jobs\Calendar\SyncCalendarEvents . 579.61ms DONE
docker_lamp_1 | 2026-04-22 07:14:40 Jiminny\Jobs\Calendar\SyncCalendarEvents ....... RUNNING
docker_lamp_1 | 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' calendar:sync --dateMode=daily > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:14:40 Jiminny\Jobs\Calendar\SyncCalendarEvents . 246.84ms DONE
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:15:11 Running ['artisan' meeting-bot:schedule-bot] .. 10s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:22 Running ['artisan' dialers:monitor-activities] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:29 Running ['artisan' jiminny:monitor-social-accounts] 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:36 Running ['artisan' mailbox:skip-lists:refresh] . 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:43 Running ['artisan' mailbox:batch:process --max-batches=15] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:15:52 Running ['artisan' activity:purge-stale] ....... 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:00 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | .... 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:08 Running ['artisan' conference:pre-meeting-notification] 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:pre-meeting-notification > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:15 Running ['artisan' conference:monitor:start] ... 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:start > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:23 Running ['artisan' conference:monitor:end] ..... 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:end > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:29 Running ['artisan' jiminny:fix-hubspot-tokens] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:fix-hubspot-tokens > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' conference:pre-meeting-reminder] in background 5.45ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' conference:pre-meeting-reminder > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-805efb160ee8d9da02e60364ace7970eb2b35f31" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' hubspot:journal-poll --start] in background 2.23ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' hubspot:journal-poll --start > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-e26d77f915d2c55fe91ca4148a230e32eaa1865e" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:16:36 Running ['artisan' datadog:report:processing-sla-activities] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:processing-sla-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:45 Running ['artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk'] 🚀 Starting HubSpot journal polling service...
docker_lamp_1 | 2026-04-22 07:16:53 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync --from='2026-04-22 06:59:00' --to='2026-04-22 07:15:00' --skipProviders='ringcentral' --skipProviders='avaya' --skipProviders='telus' --skipProviders='talkdesk' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:54 Running ['artisan' crm:bullhorn:ping --heartbeat] 2026-04-22 07:16:54 Jiminny\Jobs\Activity\SyncActivity ....... 324.50ms DONE
docker_lamp_1 | 2026-04-22 07:16:54 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity ....... 822.28ms DONE
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity ....... 757.78ms DONE
docker_lamp_1 | 2026-04-22 07:16:55 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:56 Jiminny\Jobs\Activity\SyncActivity ....... 734.01ms DONE
docker_lamp_1 | 2026-04-22 07:16:56 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:57 Jiminny\Jobs\Activity\SyncActivity ....... 696.17ms DONE
docker_lamp_1 | 2026-04-22 07:16:57 Jiminny\Jobs\Activity\SyncActivity [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:16:57 Jiminny\Jobs\Activity\SyncActivity ....... 448.22ms DONE
docker_lamp_1 | 0 social account(s) to be processed ...
docker_lamp_1 |
docker_lamp_1 | Done!
docker_lamp_1 | 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:bullhorn:ping --heartbeat > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:16:59 Running ['artisan' nudges:send --silent] ....... 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' nudges:send --silent > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:17:05 Running ['artisan' jiminny:playlists:normalize-sort] 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:playlists:normalize-sort > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:18:05 Running ['artisan' meeting-bot:schedule-bot] ... 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:11 Running ['artisan' dialers:monitor-activities] . 6s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:17 Running ['artisan' jiminny:monitor-social-accounts] 4s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:22 Running ['artisan' mailbox:skip-lists:refresh] . 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:28 Running ['artisan' mailbox:batch:process --max-batches=15] 4s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:33 Running ['artisan' conference:monitor:count] ... 5s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' mailbox:batch:retry-failed --max-batches=15] in background 6.33ms DONE
docker_lamp_1 | ⇂ ('/usr/local/bin/php' 'artisan' mailbox:batch:retry-failed --max-batches=15 > '/proc/1/fd/1' 2>&1 ; '/usr/local/bin/php' 'artisan' schedule:finish "framework/schedule-390defd641effba0f73a895e426ded4cf2ba7f11" "$?") > '/dev/null' 2>&1 &
docker_lamp_1 | 2026-04-22 07:18:38 Running ['artisan' crm:autolog-delayed] Dispatched autolog delayed jobs for all applicable teams:
docker_lamp_1 | [PASSWORD_DOTS] 9s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' crm:autolog-delayed > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:19:14 Running ['artisan' meeting-bot:schedule-bot] .. 22s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:19:37 Running ['artisan' dialers:monitor-activities] 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:19:57 Running ['artisan' jiminny:monitor-social-accounts] 19s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:20:16 Running ['artisan' mailbox:skip-lists:refresh] 23s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:20:40 Running ['artisan' mailbox:batch:process --max-batches=15] 21s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:22:12 Running ['artisan' meeting-bot:schedule-bot] .. 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:23 Running ['artisan' dialers:monitor-activities] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:35 Running ['artisan' jiminny:monitor-social-accounts] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:47 Running ['artisan' mailbox:skip-lists:refresh] . 9s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:22:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:09 Running ['artisan' conference:monitor:count] .. 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' conference:monitor:count > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:21 Running ['artisan' mailbox:batch:create] ...... 16s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:create > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:37 Running ['artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00'] 2026-04-22 07:23:38 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] RUNNING
docker_lamp_1 | 2026-04-22 07:23:40 Jiminny\Jobs\Mailbox\CreateBatches [PASSWORD_DOTS] 1s DONE
docker_lamp_1 | 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:sync 'ringcentral' 'avaya' 'telus' 'talkdesk' --from='2026-04-22 07:06:00' --to='2026-04-22 07:22:00' > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:23:49 Running ['artisan' twilio:recover-tracks] ..... 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' twilio:recover-tracks > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:24:01 Running ['artisan' dialers:sync-users] [PASSWORD_DOTS] 15s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:sync-users > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:24:16 Running ['artisan' datadog:report:failed-processing-states] 8s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' datadog:report:failed-processing-states > '/proc/1/fd/1' 2>&1
docker_lamp_1 |
docker_lamp_1 | run_artisan_schedule: Done waiting for schedule:run
docker_lamp_1 |
docker_lamp_1 | 2026-04-22 07:25:10 Running ['artisan' meeting-bot:schedule-bot] ... 7s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:18 Running ['artisan' dialers:monitor-activities] 14s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' dialers:monitor-activities > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:32 Running ['artisan' jiminny:monitor-social-accounts] 12s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:44 Running ['artisan' mailbox:skip-lists:refresh] 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:25:56 Running ['artisan' mailbox:batch:process --max-batches=15] 12s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:26:09 Running ['artisan' activity:purge-stale] ...... 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' activity:purge-stale > '/proc/1/fd/1' 2>&1
docker_lamp_1 | 2026-04-22 07:26:20 Running ['artisan' mailbox:text-relay:sync] {
docker_lamp_1 | "error": "invalid_request",
docker_lamp_1 | "error_description": "Invalid impersonation \u0026quot;sub\u0026quot; field: @"
docker_lamp_1 | }
docker_lamp_1 | ... 11s DONE
docker_lamp_1 | ⇂ '/usr/local/bin/php' 'artisan' mailbox:text-relay:sync > '/proc/1/fd/1' 2>&1
unexpected EOF
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
Attaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis
mariadb-1 | 2026-04-22 09:35:41+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.
redis | 1:C 22 Apr 2026 09:35:41.939 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
redis | 1:C 22 Apr 2026 09:35:41.940 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started
redis | 1:C 22 Apr 2026 09:35:41.940 # Configuration loaded
redis | 1:M 22 Apr 2026 09:35:41.942 * Running mode=standalone, port=6379.
redis | 1:M 22 Apr 2026 09:35:41.942 # Server initialized
redis | 1:M 22 Apr 2026 09:35:41.942 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.
redis | 1:M 22 Apr 2026 09:35:41.946 * Reading RDB preamble from AOF file...
redis | 1:M 22 Apr 2026 09:35:41.953 * Reading the remaining AOF tail...
blackfire-1 | [2026-04-22T09:35:42Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.
blackfire-1 | usage blackfire-agent [options]
blackfire-1 | --collector="https://blackfire.io": Sets the URL of Blackfire's data collector
blackfire-1 | --config="/etc/blackfire/agent": Sets the path to the configuration file
blackfire-1 | -d: Prints the current configuration
blackfire-1 | --http-proxy="": Sets the HTTP proxy to use
blackfire-1 | --https-proxy="": Sets the HTTPS proxy to use
blackfire-1 | --log-file="stderr": Sets the path of the log file. Use stderr to log to stderr
blackfire-1 | --log-level="1": log verbosity level (4: debug, 3: info, 2: warning, 1: error)
blackfire-1 | --register: Helps you with registering the agent
blackfire-1 | --server-id="": Sets the server id used to authenticate with Blackfire API
blackfire-1 | --server-token="": Sets the server token used to authenticate with Blackfire API. It is unsafe to set this from the command line
blackfire-1 | --socket="unix:///var/run/blackfire/agent.sock": Sets the socket the agent should read traces from. Possible value can be a unix socket or a TCP address. ie: unix:///var/run/blackfire/agent.sock or tcp://[IP_ADDRESS]:8307
blackfire-1 | --test: Tests the configuration
blackfire-1 | --timeout="15s": Sets the Blackfire connection timeout
blackfire-1 | -v: Prints the version number
blackfire-1 exited with code 1
jiminny_ext-1 exited with code 0
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="no configuration paths supplied"
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="using configuration at default config path" path=/home/ngrok/.ngrok2/ngrok.yml
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="open config file" path=/home/ngrok/.ngrok2/ngrok.yml err=nil
ngrok | t=2026-04-22T09:35:42+0000 lvl=info msg="starting web service" obj=web addr=[IP_ADDRESS]:4040
docker_lamp_1 | + main
docker_lamp_1 | + declare START_DIR
docker_lamp_1 | +++ realpath /scripts/init-dev
docker_lamp_1 | ++ dirname /scripts/init-dev
docker_lamp_1 | + START_DIR=/scripts
docker_lamp_1 | + readonly START_DIR
docker_lamp_1 | + source /scripts/storage_init.sh
docker_lamp_1 | ++ set -o errexit
docker_lamp_1 | ++ set -o nounset
docker_lamp_1 | ++ set -o pipefail
docker_lamp_1 | + create_bind_mount
docker_lamp_1 | + [[ 0 == \1 ]]
docker_lamp_1 | + configure_xdebug
docker_lamp_1 | + j2 /root/.j2_templates/xdebug/xdebug.ini.j2
mariadb-1 | 2026-04-22 09:35:42+00:00 [Warn] [Entrypoint]: /sys/fs/cgroup///memory.pressure not writable, functionality unavailable to MariaDB
mariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Switching to dedicated user 'mysql'
mariadb-1 | 2026-04-22 09:35:42+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.
datadog-1 | [s6-init] making user provided files available at /var/run/s6/etc...exited 0.
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="tunnel session started" obj=tunnels.session
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="client session established" obj=csess id=aae2f3a00790
mariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade information missing, assuming required
mariadb-1 | 2026-04-22 09:35:43+00:00 [Note] [Entrypoint]: MariaDB upgrade (mariadb-upgrade or creating healthcheck users) required, but skipped due to $MARIADB_AUTO_UPGRADE setting
mariadb-1 | 2026-04-22 9:35:43 0 [Note] Starting MariaDB 11.4.5-MariaDB-ubu2404 source revision 0771110266ff5c04216af4bf1243c65f8c67ccf4 server_uid QGneL+sEtMZwOWu0c63tUMw7/Pc= as process 1
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Compressed tables use zlib 1.3
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Number of transaction pools: 1
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using ARMv8 crc32 + pmull instructions
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Using liburing
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Initializing buffer pool, total size = 128.000MiB, chunk size = 2.000MiB
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Completed initialization of buffer pool
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File system buffers for log disabled (block size=512 bytes)
docker_lamp_1 | + configure_blackfire
docker_lamp_1 | + j2 /root/.j2_templates/blackfire/extension.ini.j2
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="started tunnel" obj=tunnels name="command_line (http)" addr=http://lamp:3080 url=http://lukask.ngrok.io
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="started tunnel" obj=tunnels name=command_line addr=http://lamp:3080 url=https://lukask.ngrok.io
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: End of log at LSN=7617138414
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Opened 3 undo tablespaces
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: 128 rollback segments in 3 undo tablespaces are active.
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Setting file './ibtmp1' size to 12.000MiB. Physically writing the file full; Please wait ...
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: File './ibtmp1' size is now 12.000MiB.
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: log sequence number 7617138414; transaction id 11488399
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Loading buffer pool(s) from /var/lib/mysql/ib_buffer_pool
mariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'FEEDBACK' is disabled.
mariadb-1 | 2026-04-22 9:35:43 0 [Note] Plugin 'wsrep-provider' is disabled.
docker_lamp_1 | + j2 /root/.j2_templates/blackfire/cli.ini.j2
ngrok | t=2026-04-22T09:35:43+0000 lvl=info msg="update available" obj=updater
docker_lamp_1 | + declare EMPTY_DB
docker_lamp_1 | + db_is_empty
docker_lamp_1 | ++ wc -l
docker_lamp_1 | ++ find /var/lib/mysql/ -maxdepth 1
mariadb-1 | 2026-04-22 9:35:43 0 [Note] InnoDB: Buffer pool(s) load completed at 260422 9:35:43
docker_lamp_1 | + [[ 11 -lt 5 ]]
docker_lamp_1 | + EMPTY_DB=0
docker_lamp_1 | + readonly EMPTY_DB
docker_lamp_1 | + [[ 0 -eq 1 ]]
docker_lamp_1 | + [[ local == \l\o\c\a\l ]]
docker_lamp_1 | + set_nginx_domain dev.jiminny.com
docker_lamp_1 | + declare -r DOMAIN_NAME=dev.jiminny.com
docker_lamp_1 | + cp -f /etc/nginx/nginx_template.conf /etc/nginx/nginx.conf
docker_lamp_1 | + sed -i -E s~_JIMINNY_DOMAIN~app.dev.jiminny.com~g /etc/nginx/nginx.conf
docker_lamp_1 | + sed -i -E s~_JIMINNY_EXT_DOMAIN~ext.dev.jiminny.com~g /etc/nginx/nginx.conf
docker_lamp_1 | + sed -i -E s~_JIMINNY_WEB_DOMAIN~www.dev.jiminny.com~g /etc/nginx/nginx.conf
docker_lamp_1 | + [[ -n 3399 ]]
docker_lamp_1 | + sed -i -E 's~http:\/\/jiminny_ext:8080~http://jiminny_ext:3399~g' /etc/nginx/nginx.conf
docker_lamp_1 | + [[ -n host.docker.internal ]]
docker_lamp_1 | + sed -i -E 's~http:\/\/jiminny_ext~http://host.docker.internal~g' /etc/nginx/nginx.conf
docker_lamp_1 | + build_dev
docker_lamp_1 | + cd /home/jiminny/
docker_lamp_1 | + create_dot_env_local_file
docker_lamp_1 | + cp -f /home/jiminny/.env.local /home/jiminny/.env.local.bak
docker_lamp_1 | + create_dot_env
docker_lamp_1 | + [[ -f /home/jiminny/.env ]]
docker_lamp_1 | + return
docker_lamp_1 | + declare DB_ADMIN_PASSWORD
docker_lamp_1 | + declare DB_ADMIN_USERNAME
docker_lamp_1 | + declare DB_DEV_PASSWORD
docker_lamp_1 | + declare DB_DEV_USERNAME
docker_lamp_1 | + declare DB_ROOT_PASSWORD
docker_lamp_1 | + declare DB_ROOT_USERNAME
docker_lamp_1 | + declare DB_WEB_PASSWORD
docker_lamp_1 | + declare DB_WEB_USERNAME
docker_lamp_1 | ++ jq -r .DB_ADMIN_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_ADMIN_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_ADMIN_USERNAME=jmnyadmin
docker_lamp_1 | ++ jq -r .DB_DEV_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_DEV_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_DEV_USERNAME=jmnydev
docker_lamp_1 | ++ jq -r .DB_ROOT_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_ROOT_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_ROOT_USERNAME=root
docker_lamp_1 | ++ jq -r .DB_WEB_PASSWORD /home/jiminny/dev.json
docker_lamp_1 | + [ENV_SECRET]
docker_lamp_1 | ++ jq -r .DB_WEB_USERNAME /home/jiminny/dev.json
docker_lamp_1 | + DB_WEB_USERNAME=jmnyweb
docker_lamp_1 | + readonly DB_ADMIN_PASSWORD
docker_lamp_1 | + readonly DB_ADMIN_USERNAME
docker_lamp_1 | + readonly DB_DEV_PASSWORD
docker_lamp_1 | + readonly DB_DEV_USERNAME
docker_lamp_1 | + readonly DB_ROOT_PASSWORD
docker_lamp_1 | + readonly DB_ROOT_USERNAME
docker_lamp_1 | + readonly DB_WEB_PASSWORD
docker_lamp_1 | + readonly DB_WEB_USERNAME
docker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=jmnyadmin~g' /home/jiminny/.env
docker_lamp_1 | + sed -i -E 's~[ENV_SECRET] /home/jiminny/.env
docker_lamp_1 | + sed -i -E 's~DB_HOST=.*$~DB_HOST=mariadb~g' /home/jiminny/.env
docker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.root
datadog-1 | [s6-init] ensuring user provided files have correct perms...exited 0.
docker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.migrate
docker_lamp_1 | + sed -i -E 's~[ENV_SECRET] /home/jiminny/.env.migrate
docker_lamp_1 | + sed -i -E 's~[ENV_SECRET] /home/jiminny/.env.root
docker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.migrate
datadog-1 | [fix-attrs.d] applying ownership & permissions fixes...
docker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.root
docker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.local
docker_lamp_1 | + echo ''
docker_lamp_1 | + echo '[ENV_SECRET]
docker_lamp_1 | + echo DB_ADMIN_USERNAME=jmnyadmin
docker_lamp_1 | + echo [ENV_SECRET]
docker_lamp_1 | + echo DB_DEV_USERNAME=jmnydev
docker_lamp_1 | + echo [ENV_SECRET]
docker_lamp_1 | + echo DB_ROOT_USERNAME=root
docker_lamp_1 | + echo [ENV_SECRET]
docker_lamp_1 | + echo DB_WEB_USERNAME=jmnyweb
docker_lamp_1 | + [[ false == \f\a\l\s\e ]]
docker_lamp_1 | + declare COMPOSER_PARAM=--prefer-dist
docker_lamp_1 | + [[ 0 -eq 1 ]]
datadog-1 | [fix-attrs.d] done.
docker_lamp_1 | + composer install --prefer-dist
datadog-1 | [cont-init.d] executing container initialization scripts...
datadog-1 | [cont-init.d] 01-check-apikey.sh: executing...
mariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '[IP_ADDRESS]'.
mariadb-1 | 2026-04-22 9:35:44 0 [Note] Server socket created on IP: '::'.
datadog-1 |
datadog-1 | ==================================================================================
datadog-1 | You must set an DD_API_KEY environment variable to run the Datadog Agent container
datadog-1 | ==================================================================================
datadog-1 |
mariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: Event Scheduler: Loaded 0 events
mariadb-1 | 2026-04-22 9:35:44 0 [Note] mariadbd: ready for connections.
mariadb-1 | Version: '11.4.5-MariaDB-ubu2404' socket: '/run/mysqld/mysqld.sock' port: 3306 mariadb.org binary distribution
datadog-1 | [cont-init.d] 01-check-apikey.sh: exited 1.
datadog-1 exited with code 1
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:46,369Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "version[7.10.2], pid[7], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:46,372Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:46,372Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60, -Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -XX:+ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI,COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25, -XX:InitiatingHeapOccupancyPercent=30, -Djava.io.tmpdir=/tmp/elasticsearch-11524882932678271334, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jdk=true]" }
docker_lamp_1 | Installing dependencies from lock file (including require-dev)
docker_lamp_1 | Verifying lock file contents can be installed on current platform.
docker_lamp_1 | Nothing to install, update or remove
docker_lamp_1 | Package doctrine/annotations is abandoned, you should avoid using it. No replacement was suggested.
docker_lamp_1 | Package symfony/debug is abandoned, you should avoid using it. Use symfony/error-handler instead.
docker_lamp_1 | Generating optimized autoload files
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [aggs-matrix-stats]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [analysis-common]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [constant-keyword]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [flattened]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [frozen-indices]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,723Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [ingest-common]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [ingest-geoip]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [ingest-user-agent]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [kibana]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [lang-expression]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [lang-mustache]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [lang-painless]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,724Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [mapper-extras]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [mapper-version]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [parent-join]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [percolator]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [rank-eval]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [reindex]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [repositories-metering-api]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [repository-url]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [search-business-rules]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,725Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [searchable-snapshots]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [spatial]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [transform]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [transport-netty4]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [unsigned-long]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [vectors]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,727Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [wildcard]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-analytics]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-async]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-async-search]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-autoscaling]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ccr]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-core]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-data-streams]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-deprecation]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-enrich]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-eql]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-graph]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,728Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-identity-provider]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ilm]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-logstash]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ml]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-monitoring]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,729Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-ql]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-rollup]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-security]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-sql]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-stack]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-voting-only-node]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,730Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "loaded module [x-pack-watcher]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,731Z", "level": "INFO", "component": "o.e.p.PluginsService", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "no plugins loaded" }
elasticsearch | {"type": "deprecation", "timestamp": "2026-04-22T09:35:48,822Z", "level": "DEPRECATION", "component": "o.e.d.c.s.Settings", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "[node.data] setting was deprecated in Elasticsearch and will be removed in a future release! See the breaking changes documentation for the next major version." }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,850Z", "level": "INFO", "component": "o.e.e.NodeEnvironment", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/vda1)]], net usable_space [14.5gb], net total_space [58.3gb], types [ext4]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,850Z", "level": "INFO", "component": "o.e.e.NodeEnvironment", "cluster.name": "docker-cluster", "node.name": "e802ad473a4f", "message": "heap size [700mb], compressed ordinary object pointers [true]" }
elasticsearch | {"type": "server", "timestamp": "2026-04-22T09:35:48,952Z", "level": "INFO", "comp...
|
NULL
|
|
1816
|
38
|
24
|
2026-04-11T18:03:44.763054+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930624763_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_1
|
NULL
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NULL
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NULL
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NULL
|
ts ds
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts ds","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts ds","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
|
-1104758862401255240
|
-8824172007434524787
|
visual_change
|
hybrid
|
NULL
|
ts ds
iTerm2ShellEditViewSessionScriptsProfilesWin ts ds
iTerm2ShellEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 21:03:44-zshDOCKER• ₴1DEV (-zsh)O 82APP (-zsh)• х3-zsh• ×4-zsh• *5-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":1"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5, \"offset\":0, \"total\":594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00",'"window_name" : ""},"type" : "UI"}, {"content" : {"app_name".1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"frame_id":595,"frame_naGnAl WAddeAd GnAAyN.A7"eAnCW."tovt".";Tanm2Chol11CditVinCoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO₴1DEV (-zsh)14:52.Indrwx--88lukasstaff2816 11Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts ds280 11Apr 14:57 db.sqlite\\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775865600OCKER\ \nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"}, type\": \"UI\"3, \"content)1775865600000\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\", \"focused\":t282Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2':Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje-2026-04-11 00:00:00883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: 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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts 1776766626","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts 1776766626","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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PhpStormFileEditNavigateRefactorGitW ts 1776766626
PhpStormFileEditNavigateRefactorGitWindowDOCKERViewCodeLaravelRunTools881-zsh-zshDescription mirrors JY-20500 but targets HubSpot objectsHelp* Build full day activity summary from Screenpipe* Build full day activity su... *4(deals, accounts, contacts) instead of Salesforcescreenpipe"О 85-zsh100% <*Tue 21 Apr 9:23:11T81₴6APP (-zsh)*7Also visible in backlog (not opened indivicts 1776766626|TicketTitleJY-20503Batch insert/update CRM objectJY-20503Batch insert/update CRM objectJY-20699Wrong formatting for summaryJY-20412Change Auto-logdelayJY-20361AJ Panorama for Call ScoringJY-19628Evaluation of AJ PanoramaJY-20625Jiminny MCP ConnectorJY-20410Update the template...1776766626Unix Timestamp (seconds)1776766626000Unix Timestamp (milliseconds)2026-04-21 10:17:06UTC datetime2026-04-21 13:17:06Local datetime (EEST)2026-04-21Date only (EEST)13:17:06Time only (24-hour)20260421Compact date (YYYYMMDD)2026-04-21T10:17:06ZISO 8601 UTC (Salesforce)Key outcomesfrom the session:- JY-20500 and JY-20501 were pulled into Pl- JY-20501 description and JY-20500 descrip20260421101706Bullhorn format (YYYYMMDDHHmmss)- JY-20613 had its estimate confirmed at 2.- Figma (Project Phoenix) was used to walk through JY-20676/JY-20615 UI flows* Brewed for 1m 57s$81883$84885₴6$7488* recap: Platform refinement meeting reviewed 5 Jiratickets, mainly JY-20500/20501 batch CRM sync for Salesforce and HubSpot,both moved to Sprint 3 Q2. Next: check if sprintassignments saved correctly in Jira. (disable recaps in /config)? for shortcuts~112k uncached • /clear to start freshnew task? /clear to save 113.2k tokens...
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Alfred
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iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelp(allSat 11 Apr 20:58:42-zshDOCKERO ₴1DEV (-zsh)O 82APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp":"2026-04-11T14:58:54.033733+03:00",5,\"offsetl":0, \"total\":5943 Lukas"window_name" : "'''3, "type": "UI"}, {"content" : {"app_name".1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775000721C50m1ina""nGfensGnAAvl.z"tanc".^"frame_id":595,"frame_na"tnvt". 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itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zsh0 ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null, 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\"frame)": null,\"frame_id\": 589,\"frame_name\":\*/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\"/,\"offset_index)": 0,\"tags\":(J,\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $ZAPP (-zsh)* ₴3-zsho 84Poetrycould not find a pyproject.toml filein /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du-sh~/Library/Application\||\ Support/com.screenpipe.app/*/zsh: no matchesfound: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas®Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset)": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00™', "window_name": "''},"type": "UI"}],"pagination" : {"limit":50, "offset" :0, "total" :96}}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/data/data $ U...
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1805
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38
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13
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2026-04-11T17:59:13.893401+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930353893_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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ts
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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idle
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NULL
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ts
iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelp(allSat 11 Apr 20:59:13-zshDOCKER• ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5,\"offsetl":0,\"total\":5947 Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".r"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.tsIndrwx---88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zsh0 ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": 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|
NULL
|
|
1806
|
38
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14
|
2026-04-11T17:59:44.571834+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930384571_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
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ts
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
|
-3624339194040788151
|
-3624339194040788151
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idle
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hybrid
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NULL
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ts
iTerm2ShellEditViewSessionScriptsProfilesWindow ts
iTerm2ShellEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 20:59:44-zshDOCKER• ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5,\"offsetl":0, \"total\":5947 Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".Г"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2':Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zsh0 ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes\\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset)": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00™', "window_name" : "'},"type": "UI"}],"pagination" : {"limit":50, "offset" :0, "total" :96}}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ U...
|
1805
|
|
1807
|
38
|
15
|
2026-04-11T18:00:15.339963+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930415339_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
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ts
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
|
-3624339194040788151
|
-3624339194040788151
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idle
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hybrid
|
NULL
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ts
iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelp(ahlSat 11 Apr 21:00:14-zshDOCKERO ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp":"2026-04-11T14:58:54.033733+03:00"5,\"offsetl":0, \"total\":5947 Lukas"window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".r"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes|\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\":true, \"frame)": null,\"frame_id\": 589,\"frame_name\":\*/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\"/,\"offset_index)": 0,\"tags\":(J,\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $ZAPP (-zsh)* ₴3-zsho 84Poetrycould not find a pyproject.toml filein /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~$ du-sh~/Library/Application\||\ Support/com.screenpipe.app/*/zsh: no matchesfound: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset)": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00™', "window_name": "''},"type": "UI"}],"pagination" : {"limit":50, "offset" :0, "total" :96}}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ U...
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|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930446049_m1.jpg...
|
Alfred
|
Alfred
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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ts
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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idle
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hybrid
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NULL
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ts
iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 21:00:45-zshDOCKERO 81DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5,\"offsetl":0,\"total\":5947 Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".r"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes|\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\":true, \"frame)": null,\"frame_id\": 589,\"frame_name\":\*/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\"/,\"offset_index)": 0,\"tags\":(J,\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $ZAPP (-zsh)* ₴3-zsho 84Poetrycould not find a pyproject.toml filein /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~$ du-sh~/Library/Application\||\ Support/com.screenpipe.app/*/zsh: no matchesfound: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset)": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00™', "window_name": "''},"type": "UI"}],"pagination" : {"limit":50, "offset" :0, "total" :96}}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ U...
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38
|
17
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2026-04-11T18:01:16.748719+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930476748_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
ts
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
|
-3624339194040788151
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-3624339194040788151
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idle
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hybrid
|
NULL
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ts
iTerm2ShellEditViewSessionScriptsProfilesWindow ts
iTerm2ShellEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 21:01:16-zshDOCKER• ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5,\"offsetl":0,\"total\":5947 Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".Г"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes|\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset)": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00™', "window_name" : "'},"type": "UI"}],"pagination" : {"limit":50, "offset" :0, "total" :96}}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ U...
|
1805
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|
1810
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38
|
18
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2026-04-11T18:01:47.489619+00:00
|
/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930507489_m1.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
ts
|
[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
|
-3624339194040788151
|
-3624339194040788151
|
idle
|
hybrid
|
NULL
|
ts
iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 21:01:47-zshDOCKERO ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp":"2026-04-11T14:58:54.033733+03:00"5,\"offsetl":0, \"total\":5947 Lukas"window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".r"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes|\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset)": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00™', "window_name": "''},"type": "UI"}],"pagination" : {"limit":50, "offset" :0, "total" :96}}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe/data/data $ U...
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1805
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1811
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38
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19
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2026-04-11T18:02:18.173135+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930538173_m1.jpg...
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Alfred
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Alfred
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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ts
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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-3624339194040788151
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-3624339194040788151
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idle
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hybrid
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NULL
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ts
iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 21:02:18-zshDOCKERO ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp":"2026-04-11T14:58:54.033733+03:00"5,\"offsetl":0, \"total\":5947 Lukas"window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".r"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes|\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": 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1805
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1812
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38
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20
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2026-04-11T18:02:48.877632+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930568877_m1.jpg...
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Alfred
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Alfred
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True
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NULL
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monitor_1
|
NULL
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NULL
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NULL
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NULL
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ts
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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-3624339194040788151
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-3624339194040788151
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idle
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hybrid
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NULL
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ts
iTerm2ShelllEditViewSessionScriptsProfilesWindo ts
iTerm2ShelllEditViewSessionScriptsProfilesWindowHelp(ahlSat 11 Apr 21:02:48-zshDOCKER• ₴1DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5,\"offsetl":0, \"total\":5943 Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".Г"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\",\"offset_index\": 0,\"tags\": (],\"text\": \"iTerm2':Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes\\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": 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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpallSat 11 Apr 21:03:19-zshDOCKERO 81DEV (-zsh)• ₴2APP (-zsh)• хз-zsh• ₴4-zsh• 885-zsh• ₴6-zsh₴7-zsh*8r 14:58:40-zsh181*7\",\"timestamp)":\"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3,\"type\": \"OCR\"\"agination\":(\"limit\":5,\"offsetl":0, \"total\":5947 Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name" : "'''3, "type": "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1""file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""browser_url" :nul"focused": true,"frame": null,me":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1"offentindov".17"tanc".r"frame_id":595,"frame_na"tnvt". ";Tonm)Chol11EditVinufoccionScriptsProfilesWindow Help(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx---Apr 14:53 ..In-rw-r--r--1 lukasstaff2709 Apr.ts•--÷ 88lukasstaff2816 11280 11Apr 14:57 db.sqlitel\n-rw-r--r--1 1ukasstaff3276811 Apr 14:52 db.sqlite-shm\\n-screenpipe.2026-04-09.0.10g\\n-rw-r--r--1lukas staff2569 Apr 19:53 pipes\\n-rw-r--r-cBook-Pro-Jiminny ~/.screenpipesdu -sh ~/.screenpipe/*.db\\nzsh: no matches found: /U1775930321$81OCKER\ \nClose Tabl\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\ InClose Tab\Unix Timestamp (seconds)26-04-11T14:58:40.797783+03:00\", \"window_name\": \"-zsh\"},type\": \"UI\"3,\"content\1775930321503-04-11/1775908720295_m1.jpg\", \"focused\":282\"/Users/lukas/.screenpipe/data/data/2026Unix Timestamp (milliseconds)/2026-04-11/1775908720295_m1.jpg\", \"offset_index\": 0, \"tags)": (J,\"text\": \"iTerm2::Sat Apr 11 14:52:25on ttys010•$2APP (-ZSh)• ₴3-zsho 84Poetrycould not find a pyproje2026-04-11 17:58:41883Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screeiUTC datetimerary/Application\||\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/screenpipe/data/24K/Users/lukas/.screenpipe/2026-04-11 20:58:41$84~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.Book-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-Local datetime (EEST)ff1289Apr20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1luka2026-04-11kasstaff1327369 Apr 21:27 screenpipe.2026-04885sqlite-wal2569 Apr19:53pipes-rw-r--r--1 luDate only (EEST)aliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfour1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\", \"timestamp\": 1"2026-04-11T14:58:40.220:58:41MacBook-Pro-Jiminny ~/.screenpipe $ 0""timeH86\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-Time only (24-hour)name":"","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-120260411nitial_traversal_at":null,"offset_index":47,$8726-04-11/1775908731550_m1.jpg","id":595, "iCompact date (YYYYMMDD)51-zsh181D0CKERO ₴1DEV (-zsh)O $2APP (-zsh)• *3-zshe 84-zsh• ₴5-zsh0 ₴6-zsh*7129568\\nrw-r--r--1 lukasstaff2709 Apr20:27config.json\Indrwxr-xr-x4 lukasstaff1289 Apr 20:40 do2026-04-11T17:58:41Z1 Apr 14:52 db.sqlite-shm\\n-rw-r--r--1 lukasstaff350232 11 Apr 14:58 db.sqlite-walllnISO 8601 UTC (Salesforce)9 Apr 19:53 pipes|\n-rw-r--r--1lukasstaff1327366799 11 Apr 14:57 screenpipe.2026-04-120260411175841b\\nzsh: no matches found: /Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBooBullhorn format (YYYYMMDDHHmmss)Close Tab\\n-zsh\\nClose Tab\ \n-zsh\ \nClose Tab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\e\": \"*•, \"browser_url\": null, \"device_name\":\"monitor_1\".2"3, type\": \"UI\"3, \"content\":{\"app_nam, \"file_path\": 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~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr14:57 screenpipe.2026-04-11.0.10glukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: no matches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\",\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type\": 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1805
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2026-04-11T18:03:41.727428+00:00
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/Users/lukas/.screenpipe/data/data/2026-04-11/1775 /Users/lukas/.screenpipe/data/data/2026-04-11/1775930621727_m1.jpg...
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Alfred
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NULL
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ts
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"ts","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"value":"ts","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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iTerm2ShellEditViewSessionScriptsProfilesWindow ts
iTerm2ShellEditViewSessionScriptsProfilesWindowHelp21:03:41DOCKER• ₴1DEV (-zsh)O 82APP (-zsh)• *3X4• 885-zsh₴7*8r 14:58:40-zsh181*7\",, \"timestamp)": \"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type)": \"OCR\"\"agination)":(\"limit\":@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0""timestamp": "2026-04-11T14:58:54.033733+03:00""window_name":5, \"offset\":0, \"total\":5943 Lukas"type" : "UI"}, {"content" : {"app_name"1, "device_name": "monitor_1","file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor_1_1775909337991.mp4""focused""browser_url" :nulme":"/Users/lukas/.screenpipe/data/data/2026-91_11/1775009721650 m1:true,"frame" :null,"frame__id":595,"frame_na";Tonm2Chol11CditVicwCoccionScriptsProfilesWindowHelp(ahlA100% C8Sat 11 Apr 14:58:51-zsh181D0CKERO ₴1DEV (-zsh)(14:52.Indrwx-88lukasstaff2816 11Apr 14:53..In-rw-r--r--1 lukasstaff2709 Apr.280 11Apr 14:57db.sqlite\\n-rw-r--r--1 lukasstaff3276811 Apr 14:52 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\"iTerm2ShellEditViewSessionScriptsProfilesWindowHelpCahl100% <7-zshDOCKERO Z1DEV (-zsh)Lastlogin:Sat Apr 11 14:52:25on ttys010•$2APP (-zsh)• ₴3-zsho 84Poetrycould not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not finda pyproject.tomlfile in /Users/lukasor itsparentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$ du-sh~/Library/Application\|\\ Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289Apr 20:40data-rw-r--r--1lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811 Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58 db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27 screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas®Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $du -sh ~/.screenpipe/*.dbzsh: no matchesfound: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zsh0 Z6Sat 11 Apr 14:58:40-zsh181*7\"',\"timestamp)": \"2026-04-11T14:58:40.295748+03:00\"', \"window_name\": \"'3, \"type\": \"OCR\"\"agination)": (\"limit\": 5,\"offset\": 0, \"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00""window_name": "'''3, "type": "OCR"}, {"content" : {"app_name" : "","browser_url":null,"file_path":"/Users/lukas/.screenpipe/data/data/2026-04-11/compact_monitor 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/Users/lukas/.screenpipe/*.db\\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe S\\nDOCKER\\nClose Tab\\nDEV (-zsh)\\nCloseTab\\nAPP (-zsh)\\nClose Tab\\n-zsh\InClose Tab\\n-zsh\ InClosTab\\n-zsh\\nClose Tab\\n-zsh\\nClose Tab\\nxx1\\n-zsh\"', \"timestamp\": \"2026-04-11T14:58:40.797783+03:00\", \"window_name)": \"-zsh\"},type\": \"UI\"3, \"content)" :{\"app_name\": \"'•, \"browser_url\": null, \"device_name\": \"monitor_1\", \"file_path\": \"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\": null,\"frame_id\": 589,\"frame_name\":\"/Users/lukas/.screenpipe/data/data/2026-04-11/1775908720295_m1.jpg\",\"focused\":true, \"frame)",\"offset_index)": 0,\"tags\":(J,\"text\": \"iTerm2ShellEditViewSessionScriptsProfilesWindowHelp(ahl100% <7-zshDOCKERO Z1DEV (-zsh)Last login:Sat Apr 11 14:52:25on ttys010• $ZAPP (-zsh)* ₴3-zsho 84Poetrycould not find a pyproject.toml filein /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$ du -sh ~/.screenpipe/126M/Users/lukas/.screenpipe/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $du-sh~/Library/Application\ll\Support/com.screenpipe.app/*/zsh: no matches found: /Users/lukas/Library/Application Support/com.screenpipe.app/*/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Sdu-sh ~/.screenpipe/*/49M/Users/lukas/.screenpipe/data/24K/Users/lukas/.screenpipe/pipes/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ Scd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 1ltotal129568drwxr-xr-x10lukasstaff32011 Apr14:52drwx-88lukasstaff281611 Apr 14:53-rw-r--r--lukasstaff2709 Apr20:27config.jsondrwxr-xr-xlukasstaff1289 Apr 20:40data-rw-r--r--1 lukasstaff6576128011 Apr 14:57db.sqlite-rw-r--r--1lukasstaff3276811Apr 14:52db.sqlite-shmlukasstaffdrwxr-xr-x8 lukasstaff35023211 Apr 14:58db.sqlite-wal2569 Apr19:53pipes-rw-r--r--1 lukasstaff1327369 Apr 21:27screenpipe.2026-04-09.0.10g-rw-r--r--1 lukasstaff679911 Apr 14:57 screenpipe.2026-04-11.0.10glukas®Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du-sh ~/.screenpipe/*.dbzsh: nomatches found: /Users/lukas/.screenpipe/*.dbLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 1-zshe ₴5-zshO ₴6Sat 11 Apr 14:58:40-zsh181*7\"',l"timestamp)": 1"2026-04-11T14:58:40.295748+03:00\", \"window_name)": \"'3, \"type)": \"OCR\"\"agination)":(\"limit\": 5,\"offset\": 0,\"total\": 594}Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ 0","timestamp":"2026-04-11T14:58:51.550116+03:00","window_name":"'"},"type": "UI"}],"pagination" : {"limit":50,"offset":0, "total":967}%ukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/data/data $ U...
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