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2026-05-11T17:03:42.414833+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519022414_m1.jpg...
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Finder
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FinderFileEditViewGoWindowHelp>0 ahlADOCKERAPP FinderFileEditViewGoWindowHelp>0 ahlADOCKERAPP (-zsh)-zsh₴81DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');-zshX5screenpipe™100% <478 • Mon 11 May 20:03:42L881O 886-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MBmemory usedWhat's next:Try DockerDebug forseamless, persistentdebuggingtoolsin any containerimage → docker debugdocker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_1amp_1./vendor/bin/php-cs-fixer fix--config=.php-cs-fixer.dist.php-v--using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiand contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MBmemory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image » docker debug docker_lamp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $D...
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8846379137916599064
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visual_change
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ocr
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FinderFileEditViewGoWindowHelp>0 ahlADOCKERAPP FinderFileEditViewGoWindowHelp>0 ahlADOCKERAPP (-zsh)-zsh₴81DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');-zshX5screenpipe™100% <478 • Mon 11 May 20:03:42L881O 886-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MBmemory usedWhat's next:Try DockerDebug forseamless, persistentdebuggingtoolsin any containerimage → docker debugdocker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_1amp_1./vendor/bin/php-cs-fixer fix--config=.php-cs-fixer.dist.php-v--using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiand contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MBmemory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image » docker debug docker_lamp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $D...
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21017
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918
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9
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2026-05-11T17:03:45.024687+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519025024_m1.jpg...
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Firefox
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SQLite Web: archive.db — Personal
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1
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db.screenpipe.lakylak.xyz/frames/content/
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monitor_1
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NULL
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FinderFileDOCKEREditViewGoWindowHelp0 ₴1DEV (docke FinderFileDOCKEREditViewGoWindowHelp0 ₴1DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');S0 abAAPP (-zsh)-zsh-zshX5screenpipe"100% <78• Mon 11 May 20:03:44L881O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MBmemory usedWhat's next:Try DockerDebug forseamless, persistentdebuggingtoolsin anycontainerimage → docker debugdocker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec-it docker_lamp_1./vendor/bin/php-cs-fixer fix--config=.php-cs-fixer.dist.php-v--using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiandcontributors.PHP runtime:8.3.30Running analysis on 7 cores with 10 files per process.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MBmemory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image » docker debug docker_lamp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ D...
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NULL
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1972553055076489887
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app_switch
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ocr
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FinderFileDOCKEREditViewGoWindowHelp0 ₴1DEV (docke FinderFileDOCKEREditViewGoWindowHelp0 ₴1DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');S0 abAAPP (-zsh)-zsh-zshX5screenpipe"100% <78• Mon 11 May 20:03:44L881O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MBmemory usedWhat's next:Try DockerDebug forseamless, persistentdebuggingtoolsin anycontainerimage → docker debugdocker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec-it docker_lamp_1./vendor/bin/php-cs-fixer fix--config=.php-cs-fixer.dist.php-v--using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiandcontributors.PHP runtime:8.3.30Running analysis on 7 cores with 10 files per process.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MBmemory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image » docker debug docker_lamp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ D...
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2026-05-11T17:03:44.986941+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519024986_m2.jpg...
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Firefox
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SQLite Web: archive.db — Personal
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1
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db.screenpipe.lakylak.xyz/frames/content/
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monitor_2
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FinderFavouritesjiminny(* AirDrop• RecentsA, Appli FinderFavouritesjiminny(* AirDrop• RecentsA, Applications|9 Documentsii lukasIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Networkто СRМ• Orange• Red• Yellow• Greer• Blue• Purple• All lags..VIeWWindowscreenpipedb.sqlite-shmarchive.dbdb.sqlitevi loassync.log• screenpipe.2026-05-07.0.1ogv data• 2026-05-07• 2026-05-06→2026-04-292026-04-27> 2026-04-25•2026-04-24• 2026-04-22•2026-04-23• 2026-04-20• 2026.04.212026-04-172026-04-16• 2026-04-152026-04-14- screenpipe_sync_updated.sharchive.db-oak>?app• db.sqlite-walscreenpipe_sync.shann cettinas ison• screenpipe.db›_pipes88 =M0Share Edit Tagsv Q SearchDate ModifiedToday at 19:16Yesterday at 20:48Yesterday at 20:47Yesterdav at 14:45Yesterdav at 13:47Yesterday at 13:477 May 2026 at 21:50Yesterday at 13:468 May 2026 at 9:266 May 2026 at 21:0228 Anr 2026 at 22:22128 Apr 2026 at 9:1926 Apr 2026 at 16:3524 Aor 2026 at 22:3024 Apr 2026 at 12:0824 Apr 2026 at 12:0722 Apr 2026 at 18:4422 Anr 2026 nt 0:1617 Apr 2026 at 8:5716 Anr 2026 at 0:1215 Apr 2026 at 9:59Yesterday at 13:06Yesterdav at 12:312A Anr 2026 20:10.26 Apr 2026 at 17:1718 Apr 2026 at 18.3518 Anr 2026 at 17:1213 Apr 2026 at 17:2111 Apr 2026 at 16:5130 items, 1.94 TB availabld33 KB Document12,92 GBDocument62.68 GB Folder2.37 GB Document573 KB Folder7 KB Log File566 KB Loa File7,2 CB Folder305,6 MBFolder18,8 MB|Folder1667 MP Calder339,8 MB Folder39,7 MBrolder149.1 MB Folden265,5 MB Folder171,8 MBroldel525.4 MBFolderA50 9 MP Soldon83/.2MBrolder215 GRIFolden1,09 GB Folder20 KBTerminal scripts11.13 GB193 KB FolderZero bytesDocument15 KBTerminal scripts21 butes ISONIZero bytesDocument13 KB FolderIhlFavourites• jiminny(®) AirDrop© RecentsA Applications|9 Documents• Downloadsii lukasiCloud• iCloud Drive999 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Networ!• CRM• Orange• Red• Yellow• Greer• Bue• Purple•) All lags..workv 2026= PLanhat Petko interest event 2026-05-11.mp4= Dally 2026-05-11.mp4ни Daily 2026-05-08.mp4* 1-1 2026-05-07.mp4i Daily 2026-05-07.mp4шгя 1-1 2026-04-24,mo4• Daily 2026-04-24.mp4ms User Pilot introduction Adi 2026-04-23.mp4Daily 2026-04-23.mp4Daily 2026-04-22.mp4** Refinement 2026-04-06.mp4Dally 2026-04-21.mp4Da Refinement 2026-04-20.mp4Daily 2026-04-20.mp4R Daily 2026-04-17.mp4ru Daily 2026-04-16.mp4# Planning 2026-04-15.mp4Retro 2026-04-14.mp4Daily 2026-04-14.mp4• User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4wa Daily 2026-04-08.mp4• Dailv 2026-04-07 mo4Daily 2026-04-06.mp4las Planning 2026-04-01 & task split.mp41: Retra 2026-02-21 mn4- Refinement 2026-03-30.mp4a Dailv 2026-03-30.mo4- Daily 2026-03-27.mp4- Dallv 2026-03-24.mo4• Refinement 2026-03-23.mp4• Dailv 2026-03-23.mp4** BE chapter 2026-03-20.mp4• Dailv 2026-03-20.mo4am Planing 2026-03-18-converted.mp4Refinement 2026-02-09-converted.mp4кя Dallv 2026-03-19,mo4E Peview 2026-02-19 mn/a Planing 2026-03-18.mp4•ketro 2020-03-1/.moc• Dailv 2026-03-17 mn/_: Refinement 2026-03-16.mp4- Daily 2026-03-16.mp4f Dailv 2026-03-13.mo4г 11 2026.02-12 mл/.2s. Daily 2026-03-11.mp4• Daily 2026-03-10 mn/xe: Refinement 2026-03-09.mp4Ra Daily 2026-03-09.mp4ru Daily 2026-03-06.mo4H blanrina ?096 Л9 И mnлQ Searchmate wadmtiedloday at 12:23Today at 12:22Today at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Aor 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3222 Anr 2026 at 10:2121 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Aor 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 10:09O Anr 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:137Aor 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10:211 Apr 2026 at 12-2021 Mar 2026 at 18:2031 Mar 2026 at 10:1020 Mar 2026 at 17:1230 Mar 2026 at 10:0527 Mar 2026 at 10:0924 Mar 2026 at 10:0022 Mar 2026 at 17:0223 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 206 ct 19:0119 Mar 2026 at 9:5719 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:18.16 Mar 2026 at 16:5516 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 19:2611 Mar 2026 at 10:06aMer nand nt 47:046 Mar 2026 at 9:57Aoe ACAcalaatad 4 on TO aucilahl)Mon 11 May 20:03.44491,3 MBMPEG-4 movie1.37 GEMPEG-4 movie1,55 GBMPEG-4 movie931,7 MBMPEG-4 movie1.86 G:MPEG-4 movie832,2 MB MPEG-4 movie724 MBMPEG-4 movie1.74 GEMPEG-4 movie126 GRIMDEG-A movid2,41 GBMPEG-4 movie567,8 MBMPEG-4 movie4.25 G:MPEG-4 movie698,5 MB MPEG-4 movie1,16 GB513,4 MB2,75 GB1,44 GB924,4 MBMPEG-4 movieMDEG.A movidMPEG-4 movie262 6 MPMPEG-A movid748.8 MBMPEG-4 movie1,04 GBMPEG-4 movie575.5 M:MPEG-4 movie720 6 MRMDEG.A movid1,02 GB4,68 GBMPEG-4 movie2AGPMDEG-A movie923,6 MBMPEG-4 movie2,77 GBMPEG-4 movie641.8 MEMPEG-4 movie884,3 MB476,6 MB550.8 M:MDEC.A movidMPEG-4 movie2AAGPMDEG-A movid438,9 MBMPEG-4 movie1,68 GB430.4 MEMPEG-4 movieMPEG-4 movie2.38 GB2,26 GB386.3 M:MDEC.A movidMPEG-4 movie705 9 MP2,78 GB1,53 GEMDSG-A movieMPEG-4 movieMPEG-4 movie1.2 GEMPEG.A movid4,19 GB MPEG-4 movie592,2 MB MPEG-4 movie1.02 GEMPEG-4 movie627 G MP978,7 MB798,7 MEMDEG.A movidMDEG-A movieMPEG-4 movieMPEG-A movie4,16 GB MPEG-4 movie319,7 MB291.7 MEMPEG-4 movienen eplMDEeA movit...
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FinderFavouritesjiminny(* AirDrop• RecentsA, Appli FinderFavouritesjiminny(* AirDrop• RecentsA, Applications|9 Documentsii lukasIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Networkто СRМ• Orange• Red• Yellow• Greer• Blue• Purple• All lags..VIeWWindowscreenpipedb.sqlite-shmarchive.dbdb.sqlitevi loassync.log• screenpipe.2026-05-07.0.1ogv data• 2026-05-07• 2026-05-06→2026-04-292026-04-27> 2026-04-25•2026-04-24• 2026-04-22•2026-04-23• 2026-04-20• 2026.04.212026-04-172026-04-16• 2026-04-152026-04-14- screenpipe_sync_updated.sharchive.db-oak>?app• db.sqlite-walscreenpipe_sync.shann cettinas ison• screenpipe.db›_pipes88 =M0Share Edit Tagsv Q SearchDate ModifiedToday at 19:16Yesterday at 20:48Yesterday at 20:47Yesterdav at 14:45Yesterdav at 13:47Yesterday at 13:477 May 2026 at 21:50Yesterday at 13:468 May 2026 at 9:266 May 2026 at 21:0228 Anr 2026 at 22:22128 Apr 2026 at 9:1926 Apr 2026 at 16:3524 Aor 2026 at 22:3024 Apr 2026 at 12:0824 Apr 2026 at 12:0722 Apr 2026 at 18:4422 Anr 2026 nt 0:1617 Apr 2026 at 8:5716 Anr 2026 at 0:1215 Apr 2026 at 9:59Yesterday at 13:06Yesterdav at 12:312A Anr 2026 20:10.26 Apr 2026 at 17:1718 Apr 2026 at 18.3518 Anr 2026 at 17:1213 Apr 2026 at 17:2111 Apr 2026 at 16:5130 items, 1.94 TB availabld33 KB Document12,92 GBDocument62.68 GB Folder2.37 GB Document573 KB Folder7 KB Log File566 KB Loa File7,2 CB Folder305,6 MBFolder18,8 MB|Folder1667 MP Calder339,8 MB Folder39,7 MBrolder149.1 MB Folden265,5 MB Folder171,8 MBroldel525.4 MBFolderA50 9 MP Soldon83/.2MBrolder215 GRIFolden1,09 GB Folder20 KBTerminal scripts11.13 GB193 KB FolderZero bytesDocument15 KBTerminal scripts21 butes ISONIZero bytesDocument13 KB FolderIhlFavourites• jiminny(®) AirDrop© RecentsA Applications|9 Documents• Downloadsii lukasiCloud• iCloud Drive999 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Networ!• CRM• Orange• Red• Yellow• Greer• Bue• Purple•) All lags..workv 2026= PLanhat Petko interest event 2026-05-11.mp4= Dally 2026-05-11.mp4ни Daily 2026-05-08.mp4* 1-1 2026-05-07.mp4i Daily 2026-05-07.mp4шгя 1-1 2026-04-24,mo4• Daily 2026-04-24.mp4ms User Pilot introduction Adi 2026-04-23.mp4Daily 2026-04-23.mp4Daily 2026-04-22.mp4** Refinement 2026-04-06.mp4Dally 2026-04-21.mp4Da Refinement 2026-04-20.mp4Daily 2026-04-20.mp4R Daily 2026-04-17.mp4ru Daily 2026-04-16.mp4# Planning 2026-04-15.mp4Retro 2026-04-14.mp4Daily 2026-04-14.mp4• User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4wa Daily 2026-04-08.mp4• Dailv 2026-04-07 mo4Daily 2026-04-06.mp4las Planning 2026-04-01 & task split.mp41: Retra 2026-02-21 mn4- Refinement 2026-03-30.mp4a Dailv 2026-03-30.mo4- Daily 2026-03-27.mp4- Dallv 2026-03-24.mo4• Refinement 2026-03-23.mp4• Dailv 2026-03-23.mp4** BE chapter 2026-03-20.mp4• Dailv 2026-03-20.mo4am Planing 2026-03-18-converted.mp4Refinement 2026-02-09-converted.mp4кя Dallv 2026-03-19,mo4E Peview 2026-02-19 mn/a Planing 2026-03-18.mp4•ketro 2020-03-1/.moc• Dailv 2026-03-17 mn/_: Refinement 2026-03-16.mp4- Daily 2026-03-16.mp4f Dailv 2026-03-13.mo4г 11 2026.02-12 mл/.2s. Daily 2026-03-11.mp4• Daily 2026-03-10 mn/xe: Refinement 2026-03-09.mp4Ra Daily 2026-03-09.mp4ru Daily 2026-03-06.mo4H blanrina ?096 Л9 И mnлQ Searchmate wadmtiedloday at 12:23Today at 12:22Today at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Aor 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3222 Anr 2026 at 10:2121 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Aor 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 10:09O Anr 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:137Aor 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10:211 Apr 2026 at 12-2021 Mar 2026 at 18:2031 Mar 2026 at 10:1020 Mar 2026 at 17:1230 Mar 2026 at 10:0527 Mar 2026 at 10:0924 Mar 2026 at 10:0022 Mar 2026 at 17:0223 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 206 ct 19:0119 Mar 2026 at 9:5719 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:18.16 Mar 2026 at 16:5516 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 19:2611 Mar 2026 at 10:06aMer nand nt 47:046 Mar 2026 at 9:57Aoe ACAcalaatad 4 on TO aucilahl)Mon 11 May 20:03.44491,3 MBMPEG-4 movie1.37 GEMPEG-4 movie1,55 GBMPEG-4 movie931,7 MBMPEG-4 movie1.86 G:MPEG-4 movie832,2 MB MPEG-4 movie724 MBMPEG-4 movie1.74 GEMPEG-4 movie126 GRIMDEG-A movid2,41 GBMPEG-4 movie567,8 MBMPEG-4 movie4.25 G:MPEG-4 movie698,5 MB MPEG-4 movie1,16 GB513,4 MB2,75 GB1,44 GB924,4 MBMPEG-4 movieMDEG.A movidMPEG-4 movie262 6 MPMPEG-A movid748.8 MBMPEG-4 movie1,04 GBMPEG-4 movie575.5 M:MPEG-4 movie720 6 MRMDEG.A movid1,02 GB4,68 GBMPEG-4 movie2AGPMDEG-A movie923,6 MBMPEG-4 movie2,77 GBMPEG-4 movie641.8 MEMPEG-4 movie884,3 MB476,6 MB550.8 M:MDEC.A movidMPEG-4 movie2AAGPMDEG-A movid438,9 MBMPEG-4 movie1,68 GB430.4 MEMPEG-4 movieMPEG-4 movie2.38 GB2,26 GB386.3 M:MDEC.A movidMPEG-4 movie705 9 MP2,78 GB1,53 GEMDSG-A movieMPEG-4 movieMPEG-4 movie1.2 GEMPEG.A movid4,19 GB MPEG-4 movie592,2 MB MPEG-4 movie1.02 GEMPEG-4 movie627 G MP978,7 MB798,7 MEMDEG.A movidMDEG-A movieMPEG-4 movieMPEG-A movie4,16 GB MPEG-4 movie319,7 MB291.7 MEMPEG-4 movienen eplMDEeA movit...
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2026-05-11T17:03:46.214096+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519026214_m1.jpg...
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Firefox
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SQLite Web: archive.db — Personal
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1
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db.screenpipe.lakylak.xyz/frames/content/
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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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FinderFile•DOCKEREditViewGoWindowHelpAPP (-zsh)-zs FinderFile•DOCKEREditViewGoWindowHelpAPP (-zsh)-zsh+© *1DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');-zsh>0 ll*5screenpipe"100% <78• Mon 11 May 20:03:45T81O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image → docker debug docker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any container or image » docker debug docker_1amp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ I...
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876384802487438681
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visual_change
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ocr
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NULL
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FinderFile•DOCKEREditViewGoWindowHelpAPP (-zsh)-zs FinderFile•DOCKEREditViewGoWindowHelpAPP (-zsh)-zsh+© *1DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');-zsh>0 ll*5screenpipe"100% <78• Mon 11 May 20:03:45T81O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image → docker debug docker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any container or image » docker debug docker_1amp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ I...
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11
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2026-05-11T17:03:48.804333+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519028804_m2.jpg...
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21018
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21021
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918
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11
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2026-05-11T17:03:50.474884+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519030474_m1.jpg...
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Firefox
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DXP4800PLUS-B5F8 — Personal
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1
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monitor_1
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NULL
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New Tab
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All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
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Close tab
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
4.7...
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Screenpipe — Archive
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All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
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Close tab
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
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Bitwarden
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21022
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2026-05-11T17:03:50.853197+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519030853_m2.jpg...
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Firefox
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monitor_2
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New Tab
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All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
Close tab
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
4.7
KB/s
2.7
KB/s
Files
Control Panel
Storage
App Center
Logs
Support
Task Manager
Music
Cloud Drives
Theater
Photos
Online Office
TextEdit
Virtual Machine
Downloads
DLNA
File Version Explorer
Security
Jellyfin-HT
SAN Manager
Vault
Snapshot
Comics
Sync & Backup
UGREEN AI
Recycle Bin
Control Panel
Search
Connection & Access
User Management
File Service
Device Connection
Domain/LDAP
Terminal
General
Hardware & Power
Time & Language
Network
Security
Indexing Service
Service
About
Update & Restore
Telnet
Enable
Enable
Port
23
Advanced settings
SSH
Enable
Enable
Port
22
Shut down automatically
1h later
Advanced settings
Function description
Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
auto block
auto block
to enhance system security.
Apply...
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Enable
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Port
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Shut down automatically
1h later
Advanced settings
Function description
Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
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Apply...
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Function description
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Shut down automatically
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Function description
Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
auto block
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to enhance system security.
Apply...
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Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
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Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
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21024
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2026-05-11T17:03:54.212274+00:00
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About
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Enable
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SSH
Enable
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22
Shut down automatically
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Advanced settings
Function description
Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
auto block
auto block
to enhance system security....
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2026-05-11T17:04:24.499490+00:00
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2026-05-11 21:03 will automatically shut down
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2026-05-11T17:04:24.538984+00:00
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Enable
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Port
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Shut down automatically
1h later
2026-05-11 21:03 will automatically shut down
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auto block
auto block
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Apply...
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FinderFileDOCKEREditViewGoWindowHelp- ₴1DEV (docker)$2APP (~zsh)ScrmService->syncOpportunity('374720564');$crmService->matchByName('Robot');APP (-zsh)-zsh>0 lbl 0-zshX5screenpipe"100% <7O ₴68• Mon 11 May 20:04:50-zsh181*7 |+APPenddiffFixed 4 of 5666 filesin 146.870 seconds, 60.00 MBmemory usedWhat's next:Try DockerDebug forseamless, persistentdebuggingtoolsin anycontainerLearn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_lamp_1./vendor/bin/php-cs-fixer fix--config=.php-cs-fixer.dist.php-v--using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiand contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any container or image docker debug docker_lamp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $D...
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Commit Changes on "JY-20725-handle-HS-search-rate-limit"
Commit
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Changes
12
.env.local
M
.env.nikilocal
U
.env.other
U
ids.txt
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raw_sql_query.sql
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WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
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SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
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CreateMockAskJiminnyReportResultCommand.php
app/Console/Commands/Reports
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logging.php
config
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favicon.ico
public
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CanAccessAiReportsTest.php
tests/Unit/Policies
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Graph Section
GRAPH
GRAPH
JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
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git-commit Lukas Kovalik (1 hour ago)
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Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,...
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JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
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Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
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ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
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ilian
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ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
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git-commit Lukas Kovalik (1 hour ago)
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Review rate limit handling for HubSpot job queue
Session history
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RateLimitException.php#9-9
RateLimitException.php#9-9
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Graph Section
GRAPH
GRAPH
JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests...
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JY-20725-handle-HS-search-rate-limit
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JY-20725-handle-HS-search-rate-limit
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Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
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Lukas Kovalik
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mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
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Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
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Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
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Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
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ilian
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HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
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JY-20725-handle-HS-search-rate-limit*
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Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,
@app/Jobs/Middleware/HandleHubspotRateLimit.php
,
@app/Services/Crm/Hubspot/Client.php
and
@app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php
. The issue is I am trying to make sure that instant spike of MatchActivityCrmData jobs willl handle 429 exceptions from hubspot. Revewi ti carefully and try to see potential issues and bottlenecks. Also RateLimitException was changerd from LogicException to RuntimeException. Is it ok. This exception is used by other paerts of code. Will ti break anything?
Thought for 5s
Thought for 5s
I'll review the implementation carefully. Let me first check how
RateLimitException
is used elsewhere and look at the test files and
PaginationState
.
Bash
Find all usages of RateLimitException outside the changed files
IN
grep -rn "RateLimitException" /Users/lukas/jiminny/app/app --include="*.php" | grep -v "HandleHubspotRateLimit\|MatchActivityCrmData\|Client.php\|RateLimitException.php"
Copy code to clipboard
OUT
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:13:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:51: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:17:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:68: RateLimitException |
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:15:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:58: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:19:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:76: RateLimitException |
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:8:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:50: * @throws RateLimitException When rate limit is hit
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php:195: // RateLimitException and other exceptions are re-thrown as-is
Read
PaginationState.php
PaginationState.php
Read
HandleHubspotRateLimitTest.php
HandleHubspotRateLimitTest.php
Bash
Check how RateLimitException is used in GenerateActionItemsJob
IN...
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.env.local
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.env.other
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ids.txt
U
raw_sql_query.sql
U
WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
M
SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
U
CreateMockAskJiminnyReportResultCommand.php
app/Console/Commands/Reports
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config
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CanAccessAiReportsTest.php
tests/Unit/Policies
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Graph Section
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JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
app (Git) - Synchronize Changes
Errors: 6, Warnings: 11, Infos: 28
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Lukas Kovalik (1 hour ago)
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Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,
@app/Jobs/Middleware/HandleHubspotRateLimit.php
,
@app/Services/Crm/Hubspot/Client.php
and
@app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php
. The issue is I am trying to make sure that instant spike of MatchActivityCrmData jobs willl handle 429 exceptions from hubspot. Revewi ti carefully and try to see potential issues and bottlenecks. Also RateLimitException was changerd from LogicException to RuntimeException. Is it ok. This exception is used by other paerts of code. Will ti break anything?
Thought for 5s
Thought for 5s
I'll review the implementation carefully. Let me first check how
RateLimitException
is used elsewhere and look at the test files and
PaginationState
.
Bash
Find all usages of RateLimitException outside the changed files
IN
grep -rn "RateLimitException" /Users/lukas/jiminny/app/app --include="*.php" | grep -v "HandleHubspotRateLimit\|MatchActivityCrmData\|Client.php\|RateLimitException.php"
Copy code to clipboard
OUT
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:13:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:51: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:17:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:68: RateLimitException |
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:15:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:58: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:19:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:76: RateLimitException |
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:8:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:50: * @throws RateLimitException When rate limit is hit
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php:195: // RateLimitException and other exceptions are re-thrown as-is
Read
PaginationState.php
PaginationState.php
Read
HandleHubspotRateLimitTest.php
HandleHubspotRateLimitTest.php
Bash
Check how RateLimitException is used in GenerateActionItemsJob
IN...
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NULL
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/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/ /Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Client.php...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519095586_m2.jpg...
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Client.php (Working Tree) (Client.php) — app — 9 p Client.php (Working Tree) (Client.php) — app — 9 problems in this file • Modified...
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12
.env.local
M
.env.nikilocal
U
.env.other
U
ids.txt
U
raw_sql_query.sql
U
WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
M
SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
U
CreateMockAskJiminnyReportResultCommand.php
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config
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CanAccessAiReportsTest.php
tests/Unit/Policies
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Graph Section
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JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
app (Git) - Synchronize Changes
Errors: 6, Warnings: 11, Infos: 28
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Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,...
|
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Explorer (⇧⌘E) - 1 unsaved file
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12
.env.local
M
.env.nikilocal
U
.env.other
U
ids.txt
U
raw_sql_query.sql
U
WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
M
SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
U
CreateMockAskJiminnyReportResultCommand.php
app/Console/Commands/Reports
U
logging.php
config
M
favicon.ico
public
U
CanAccessAiReportsTest.php
tests/Unit/Policies
U
Graph Section
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JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
app (Git) - Synchronize Changes
Errors: 6, Warnings: 11, Infos: 28
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git-commit Lukas Kovalik (1 hour ago)
Lukas Kovalik (1 hour ago)
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Connect to Host...Remote-SSH
Connect to Host...
Remote-SSH
Connect Current Window to Host...
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Continue Working in vscode.devRemote Repositories
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Remote Repositories
TunnelInstall
Tunnel
Install
Dev Container
Dev Container
GitHub Codespace
GitHub Codespace
Remote Repository
Remote Repository
Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,...
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21036
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/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/ /Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Client.php...
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NULL
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21039
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918
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2026-05-11T17:04:56.994910+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519096994_m1.jpg...
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Code
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Client.php (Working Tree) (Client.php) — app — 9 p Client.php (Working Tree) (Client.php) — app — 9 problems in this file • Modified...
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monitor_1
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Testing
Claude Code
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Commit Changes on "JY-20725-handle-HS-search-rate-limit"
Commit
More Actions...
Changes
12
.env.local
M
.env.nikilocal
U
.env.other
U
ids.txt
U
raw_sql_query.sql
U
WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
M
SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
U
CreateMockAskJiminnyReportResultCommand.php
app/Console/Commands/Reports
U
logging.php
config
M
favicon.ico
public
U
CanAccessAiReportsTest.php
tests/Unit/Policies
U
Graph Section
GRAPH
GRAPH
JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
app (Git) - Synchronize Changes
Errors: 6, Warnings: 11, Infos: 28
6
11
28
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git-commit Lukas Kovalik (1 hour ago)
Lukas Kovalik (1 hour ago)
Diff editor
Clear
Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,
@app/Jobs/Middleware/HandleHubspotRateLimit.php
,
@app/Services/Crm/Hubspot/Client.php
and
@app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php
. The issue is I am trying to make sure that instant spike of MatchActivityCrmData jobs willl handle 429 exceptions from hubspot. Revewi ti carefully and try to see potential issues and bottlenecks. Also RateLimitException was changerd from LogicException to RuntimeException. Is it ok. This exception is used by other paerts of code. Will ti break anything?
Thought for 5s
Thought for 5s
I'll review the implementation carefully. Let me first check how
RateLimitException
is used elsewhere and look at the test files and
PaginationState
.
Bash
Find all usages of RateLimitException outside the changed files
IN
grep -rn "RateLimitException" /Users/lukas/jiminny/app/app --include="*.php" | grep -v "HandleHubspotRateLimit\|MatchActivityCrmData\|Client.php\|RateLimitException.php"
Copy code to clipboard
OUT
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:13:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:51: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:17:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:68: RateLimitException |
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:15:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:58: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:19:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:76: RateLimitException |
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:8:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:50: * @throws RateLimitException When rate limit is hit
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php:195: // RateLimitException and other exceptions are re-thrown as-is
Read
PaginationState.php
PaginationState.php
Read
HandleHubspotRateLimitTest.php
HandleHubspotRateLimitTest.php
Bash
Check how RateLimitException is used in GenerateActionItemsJob
IN
grep -rn "RateLimitException\|LogicException\|RuntimeException" /Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php | head -20...
|
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Let me first check how","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimitException","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is used elsewhere and look at the test files and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PaginationState","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Find all usages of RateLimitException outside the changed files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -rn \"RateLimitException\" /Users/lukas/jiminny/app/app --include=\"*.php\" | grep -v \"HandleHubspotRateLimit\\|MatchActivityCrmData\\|Client.php\\|RateLimitException.php\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:13:use Jiminny\\Exceptions\\RateLimitException;\n/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:51: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception\n/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:17:use Jiminny\\Exceptions\\RateLimitException;\n/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:68: RateLimitException |\n/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:15:use Jiminny\\Exceptions\\RateLimitException;\n/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:58: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception\n/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:19:use Jiminny\\Exceptions\\RateLimitException;\n/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:76: RateLimitException |\n/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:8:use Jiminny\\Exceptions\\RateLimitException;\n/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:50: * @throws RateLimitException When rate limit is hit\n/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php:195: // RateLimitException and other exceptions are re-thrown as-is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"PaginationState.php","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PaginationState.php","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"HandleHubspotRateLimitTest.php","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"HandleHubspotRateLimitTest.php","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check how RateLimitException is used in GenerateActionItemsJob","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -rn \"RateLimitException\\|LogicException\\|RuntimeException\" /Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php | head -20","depth":25,"on_screen":false,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
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12
.env.local
M
.env.nikilocal
U
.env.other
U
ids.txt
U
raw_sql_query.sql
U
WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
M
SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
U
CreateMockAskJiminnyReportResultCommand.php
app/Console/Commands/Reports
U
logging.php
config
M
favicon.ico
public
U
CanAccessAiReportsTest.php
tests/Unit/Policies
U
Graph Section
GRAPH
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JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
app (Git) - Synchronize Changes
Errors: 6, Warnings: 11, Infos: 28
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Ln 120, Col 1
git-commit Lukas Kovalik (1 hour ago)
Lukas Kovalik (1 hour ago)
Diff editor
Clear
Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,
@app/Jobs/Middleware/HandleHubspotRateLimit.php
,
@app/Services/Crm/Hubspot/Client.php
and
@app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php
. The issue is I am trying to make sure that instant spike of MatchActivityCrmData jobs willl handle 429 exceptions from hubspot. Revewi ti carefully and try to see potential issues and bottlenecks. Also RateLimitException was changerd from LogicException to RuntimeException. Is it ok. This exception is used by other paerts of code. Will ti break anything?
Thought for 5s
Thought for 5s
I'll review the implementation carefully. Let me first check how
RateLimitException
is used elsewhere and look at the test files and
PaginationState
.
Bash
Find all usages of RateLimitException outside the changed files
IN
grep -rn "RateLimitException" /Users/lukas/jiminny/app/app --include="*.php" | grep -v "HandleHubspotRateLimit\|MatchActivityCrmData\|Client.php\|RateLimitException.php"
Copy code to clipboard
OUT
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:13:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php:51: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:17:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiCallScoring/Jobs/GenerateAiCallScoringJob.php:68: RateLimitException |
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:15:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/TranscriptionSummary/Jobs/SummarizeTranscriptionJob.php:58: GuzzleException|HttpBadRequestException|JsonException|RateLimitException|UnexpectedValueException $exception
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:19:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Component/AiActivityType/Jobs/GenerateAiActivityTypeJob.php:76: RateLimitException |
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:8:use Jiminny\Exceptions\RateLimitException;
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/HubspotClientInterface.php:50: * @throws RateLimitException When rate limit is hit
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Pagination/HubspotPaginationService.php:195: // RateLimitException and other exceptions are re-thrown as-is
Read
PaginationState.php
PaginationState.php
Read
HandleHubspotRateLimitTest.php
HandleHubspotRateLimitTest.php
Bash
Check how RateLimitException is used in GenerateActionItemsJob
IN
grep -rn "RateLimitException\|LogicException\|RuntimeException" /Users/lukas/jiminny/app/app/Component/ActionItems/Jobs/GenerateActionItemsJob.php | head -20...
|
21037
|
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/ /Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Client.php...
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NULL
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NULL
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21040
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919
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20
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2026-05-11T17:04:57.026902+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519097026_m2.jpg...
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Code
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Client.php (Working Tree) (Client.php) — app — 9 p Client.php (Working Tree) (Client.php) — app — 9 problems in this file • Modified...
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Testing
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Commit Changes on "JY-20725-handle-HS-search-rate-limit"
Commit
More Actions...
Changes
12
.env.local
M
.env.nikilocal
U
.env.other
U
ids.txt
U
raw_sql_query.sql
U
WEBHOOK_FILTERING_IMPLEMENTATION.md
U
JiminnyDebugCommand.php
app/Console/Commands
M
SimulateWebhooksCommand.php
app/Console/Commands/Crm/Hubspot
U
CreateMockAskJiminnyReportResultCommand.php
app/Console/Commands/Reports
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config
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public
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CanAccessAiReportsTest.php
tests/Unit/Policies
U
Graph Section
GRAPH
GRAPH
JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
app (Git) - Synchronize Changes
Errors: 6, Warnings: 11, Infos: 28
6
11
28
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8.3, Language Level: 8.3
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PHP
LF
UTF-8
Spaces: 4
Ln 120, Col 1
git-commit Lukas Kovalik (1 hour ago)
Lukas Kovalik (1 hour ago)
Diff editor
Clear
Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
Reveiw the diff. Mostly
@app/Jobs/Crm/MatchActivityCrmData.php
,
@app/Exceptions/RateLimitException.php
,
@app/Jobs/Middleware/HandleHubspotRateLimit.php
,
@app/Services/Crm/Hubspot/Client.php
and...
|
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Graph Section
GRAPH
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JY-20725 code review suggestions
Lukas Kovalik
JY-20725-handle-HS-search-rate-limit
JY-20725 add more tests
Lukas Kovalik
JY-20725 add tests
Lukas Kovalik
JY-20725 add HS rate limit handling on activities rematching
Lukas Kovalik
Merge pull request #12056 from jiminny/JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
origin/master
Merge branch 'master' into JY-20818-move-AJ-reports-to-separated-datadog-metric
Lukas Kovalik
Merge pull request #12057 from jiminny/JY-20819-increase-download-transctip-rate-limit
mihailmihaylovjiminny
JY-20819: Increase download transcription rate limit
mihail.mihaylov
JY-20818 move ask jiminny reports to its own datadog metric
Lukas Kovalik
Merge pull request #12052 from jiminny/JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge branch 'master' into JY-20817-fix-deleting-old-tracks
mihailmihaylovjiminny
Merge pull request #12047 from jiminny/JY-20662-remove-word-boost
ilian-jiminny
JY-20662 return void
ilian
JY-20662 Removed word_boost parameter from Assembly transcription request
ilian
JY-20817: Fix deleting old tracks
mihail.mihaylov
Merge pull request #12043 from jiminny/JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge branch 'master' into JY-19938-bot-status-in-csv-es
ilian-jiminny
Merge pull request #12044 from jiminny/JY-19938-ES-mapping-update
ilian-jiminny
JY-19938 Added consent information and recording error reason to Elastic Search mapping
ilian
JY-19938 reorder array map
ilian
JY-19938: Address PR review comments
ilian
HandleHubspotRateLimitTest.php (Working Tree) (HandleHubspotRateLimitTest.php), Editor Group 1
ClientTest.php (Working Tree) (ClientTest.php), Editor Group 1
Client.php (Working Tree) (Client.php), Editor Group 1
MatchActivityCrmData.php (Working Tree) (MatchActivityCrmData.php), Editor Group 1
MatchActivityCrmData.php, Editor Group 1
RateLimitException.php (Working Tree) (RateLimitException.php), Editor Group 1
Client.php, preview, Editor Group 1
Review rate limit handli…, Editor Group 2
remote
app (Git) - JY-20725-handle-HS-search-rate-limit*, Checkout Branch/Tag...
JY-20725-handle-HS-search-rate-limit*
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git-commit Lukas Kovalik (1 hour ago)
Lukas Kovalik (1 hour ago)
Diff editor
Clear
Review rate limit handling for HubSpot job queue
Session history
New session
Message actions
RateLimitException.php#9-9
RateLimitException.php#9-9
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Source Control (⌃⇧G) - 12 pending changes
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Extensions (⇧⌘X) - 2 require update
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Claude Code
SOURCE CONTROL
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Changes Section
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Commit Changes on "JY-20725-handle-HS-search-rate-limit"
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Do you want to save the changes you made to Client Do you want to save the changes you made to Client.php?
Your changes will be lost if you don't save them.
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Do you want to save the changes you made to Client Do you want to save the changes you made to Client.php?
Your changes will be lost if you don't save them.
Save
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Client.php (Working Tree) (Client.php) — app — 9 p Client.php (Working Tree) (Client.php) — app — 9 problems in this file • Modified...
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Finder••DOCKER+ +FileEditViewGoWindowHelp- ₴81DEV Finder••DOCKER+ +FileEditViewGoWindowHelp- ₴81DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');APP (-zsh)-zsh-zsh>0 ll*5screenpipe"100% <78• Mon 11 May 20:05:02T81O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image → docker debug docker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any container or image » docker debug docker_1amp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ I...
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Finder••DOCKER+ +FileEditViewGoWindowHelp- ₴81DEV Finder••DOCKER+ +FileEditViewGoWindowHelp- ₴81DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');APP (-zsh)-zsh-zsh>0 ll*5screenpipe"100% <78• Mon 11 May 20:05:02T81O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image → docker debug docker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any container or image » docker debug docker_1amp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ I...
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selectionLàChanges• .env.local• .env.nikiloca,• .e selectionLàChanges• .env.local• .env.nikiloca,• .env.otherEids.txtraw_sal_query.sg* WEBHOOK_FILTERING_IMPLEMENT# JiminnyDebugCommand.php app/d## SimulateWebhooksCommand.php a.w CreateMockAskJiminnvReportResult.w logaina.pho confid* favicon.ico publicif CanAccessAiReportsTest.php testsl..V GRAPHO JY-20725 code r.• JY-20725 add more tests Lukas KovMerae branch 'master' into .IY-20818.)Merge pull request #12057 from jimin..10.IY-20819• Increase download transer.i Merge pul nequest 412057 rom in in..Merao null roauoct #12052 from liminотро зы rадкеы 206Merge branch 'master' into JY-20817.Merge pull request #12047 from jimin.• JY-20662 Removed word boost para.JY-20817: Fix deleting old tracks mih…Merge pull request #12043 from jimin.Merge branch "master' into Jy-19938.Merge pull request #12044 from fimin.• Jy-19938 Added consent informationJY-19938 reorder array mao ilianJY-19938: Address PR review comme.Windovhhl100% L2Mon 11 May 20:05:02wMatchActivitvCrmData.ohp#* Client.php > * Client > getRateLimitCacheKey()keview fate limit nanaling for huospouo..• Now run all affected tests to verify everything passes:use Hubspot Client crm Pipelines ModelPipel1nestage:use Hubsoot Cllent Crm Properties Model Property:HubSoot Discovery Discovery:21 use liminnvlFycentionc|SocialAccountTokenTnvalidFycentioneuse Jiminny services \crm\hubspoc\raginac1on\hubspocraginaclonserviceruse 1lluminare support racades keals'use Throwable;public const string MIN API VERSION = '2':private HubspotPaginationService $paginationService;orivare nuospoclokenmanager scokenmanager.SocialAccountService ssocialAccountService.HubsootPaginationService SpaginationService.narent:: construct(<socialAccountService).E\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;nubspocre cencrenmoogects (mode l oamp ceruo excooyeccanput,HubSpot\Client\Crm\Objects\Model\SimplePublic0bjectWithAssociations as ObjectWithAssociatinubspottelencier rapeuines modelierror,Hubspot Client\ Crm Pipelines Model PipeLinestage:use Hubspot Cluent Crm Provertles Model Property:use HubSpot Discovery Discovery:use Jiminny Excentions CrmExcention:Jiminny\Exceptions\RateLimitException;liminnvl Fycentioncl CocialAdDo you wande to client phangesYour changes will be lost if you don't1uluminace supporc racadesSaveDon't SaveCancelclacs Client eytends Raceflienipublic const suring MIN APL VERSION = '2"strind BasE URL ="httos:ao1.hubaot.com':private HubspotPaginationService $paginationService;privare nuospoctokenmanager stokenmanader.pubLso 1ulAtcounscovste S50cia1AccountService,HubspotPaginationService SpaginationServicelnarent:. construct((socialAccountService).$this->paginationService = SpaginationService:sthis->setBaseUriself::BASEURL):>setVersion(self::MTN APT VERSION):Commandrunniinan.backaroundwithT0.hhu@az8okOntont..beina_waltitien tor/natvate/tmo//alande-50V/-lsers-mkas_Kimilnny_ann/1ca08117hd_3248-Ac62-h226-2ard• Bash Check test outoucat /ortvate/tmo/claude=501/-Users-Lukas-11m1nny=aoo/cae81700-3648-4C63-0356-211d87412e4d/tasks/bhugaz8vk.output 22/dev/null ta1l =30PHPlInit 11.5.55 bv Sebhastian Beramann and contributorslPHP 8.3.30• All 120 tests pass. Here's a summary of every change made to address the review feedback:Issue 1 - Batch APl calls bypass rate-limit handlingDatchkeadubjects() now wraps tne sbatchtont1gl'ap1")→>read(...) call inside executekequest(), so 42gs Trom batch enapoints are caugnt by theon propagates to the iobmiddleware instead of being swallowed by handleBatchError() andre-wrapped as CrmExceptionIssue 2 - Misleading cache key nameClient.php:120 — Renamed hubspt: ratelimit:portal:%d • hubspot: ratelimit: cont10:%d. Ine key was already scoped to the contig record ID (not a Hubspot portal ID):TwllentnhosvkukV.oth.methods.chandedIrom.nmhlt. o.nvateNather.cinthelnteriace.andinoiihino.ouiisitle.exccntaReomecthoallc.ihem.the.GirectatesiicuinIssue 5 - Test constants duolicated from oroduction codeIDS ) and inlined the concrete boundary value?with comments (e.g. 'expectedMax' => 605. // 600 + 5 jitter). If the middleware constants change, these tests will now fail rather than silently pass against stale expectedIssue 6 - Double-clamoing in RateLimitExcentsionDatallmiliswcaatanaha?ho.ahmaina.mavodt.tho.constatorKaitnatvAatarmyllaav/1araTiho.manoatviltnallanaaznnzamatodlinazamator/inhilahMatchActivitvCrmData.php:172 — Added a three-line comment explaining that RateLimitExcention onlv reaches failed() when retrvüntil() expires while the iob is still+0M Client.ohralalUTF-8 LF PHP 88 Signin 8.3P...
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selectionLàChanges• .env.local• .env.nikiloca,• .e selectionLàChanges• .env.local• .env.nikiloca,• .env.otherEids.txtraw_sal_query.sg* WEBHOOK_FILTERING_IMPLEMENT# JiminnyDebugCommand.php app/d## SimulateWebhooksCommand.php a.w CreateMockAskJiminnvReportResult.w logaina.pho confid* favicon.ico publicif CanAccessAiReportsTest.php testsl..V GRAPHO JY-20725 code r.• JY-20725 add more tests Lukas KovMerae branch 'master' into .IY-20818.)Merge pull request #12057 from jimin..10.IY-20819• Increase download transer.i Merge pul nequest 412057 rom in in..Merao null roauoct #12052 from liminотро зы rадкеы 206Merge branch 'master' into JY-20817.Merge pull request #12047 from jimin.• JY-20662 Removed word boost para.JY-20817: Fix deleting old tracks mih…Merge pull request #12043 from jimin.Merge branch "master' into Jy-19938.Merge pull request #12044 from fimin.• Jy-19938 Added consent informationJY-19938 reorder array mao ilianJY-19938: Address PR review comme.Windovhhl100% L2Mon 11 May 20:05:02wMatchActivitvCrmData.ohp#* Client.php > * Client > getRateLimitCacheKey()keview fate limit nanaling for huospouo..• Now run all affected tests to verify everything passes:use Hubspot Client crm Pipelines ModelPipel1nestage:use Hubsoot Cllent Crm Properties Model Property:HubSoot Discovery Discovery:21 use liminnvlFycentionc|SocialAccountTokenTnvalidFycentioneuse Jiminny services \crm\hubspoc\raginac1on\hubspocraginaclonserviceruse 1lluminare support racades keals'use Throwable;public const string MIN API VERSION = '2':private HubspotPaginationService $paginationService;orivare nuospoclokenmanager scokenmanager.SocialAccountService ssocialAccountService.HubsootPaginationService SpaginationService.narent:: construct(<socialAccountService).E\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;nubspocre cencrenmoogects (mode l oamp ceruo excooyeccanput,HubSpot\Client\Crm\Objects\Model\SimplePublic0bjectWithAssociations as ObjectWithAssociatinubspottelencier rapeuines modelierror,Hubspot Client\ Crm Pipelines Model PipeLinestage:use Hubspot Cluent Crm Provertles Model Property:use HubSpot Discovery Discovery:use Jiminny Excentions CrmExcention:Jiminny\Exceptions\RateLimitException;liminnvl Fycentioncl CocialAdDo you wande to client phangesYour changes will be lost if you don't1uluminace supporc racadesSaveDon't SaveCancelclacs Client eytends Raceflienipublic const suring MIN APL VERSION = '2"strind BasE URL ="httos:ao1.hubaot.com':private HubspotPaginationService $paginationService;privare nuospoctokenmanager stokenmanader.pubLso 1ulAtcounscovste S50cia1AccountService,HubspotPaginationService SpaginationServicelnarent:. construct((socialAccountService).$this->paginationService = SpaginationService:sthis->setBaseUriself::BASEURL):>setVersion(self::MTN APT VERSION):Commandrunniinan.backaroundwithT0.hhu@az8okOntont..beina_waltitien tor/natvate/tmo//alande-50V/-lsers-mkas_Kimilnny_ann/1ca08117hd_3248-Ac62-h226-2ard• Bash Check test outoucat /ortvate/tmo/claude=501/-Users-Lukas-11m1nny=aoo/cae81700-3648-4C63-0356-211d87412e4d/tasks/bhugaz8vk.output 22/dev/null ta1l =30PHPlInit 11.5.55 bv Sebhastian Beramann and contributorslPHP 8.3.30• All 120 tests pass. Here's a summary of every change made to address the review feedback:Issue 1 - Batch APl calls bypass rate-limit handlingDatchkeadubjects() now wraps tne sbatchtont1gl'ap1")→>read(...) call inside executekequest(), so 42gs Trom batch enapoints are caugnt by theon propagates to the iobmiddleware instead of being swallowed by handleBatchError() andre-wrapped as CrmExceptionIssue 2 - Misleading cache key nameClient.php:120 — Renamed hubspt: ratelimit:portal:%d • hubspot: ratelimit: cont10:%d. Ine key was already scoped to the contig record ID (not a Hubspot portal ID):TwllentnhosvkukV.oth.methods.chandedIrom.nmhlt. o.nvateNather.cinthelnteriace.andinoiihino.ouiisitle.exccntaReomecthoallc.ihem.the.GirectatesiicuinIssue 5 - Test constants duolicated from oroduction codeIDS ) and inlined the concrete boundary value?with comments (e.g. 'expectedMax' => 605. // 600 + 5 jitter). If the middleware constants change, these tests will now fail rather than silently pass against stale expectedIssue 6 - Double-clamoing in RateLimitExcentsionDatallmiliswcaatanaha?ho.ahmaina.mavodt.tho.constatorKaitnatvAatarmyllaav/1araTiho.manoatviltnallanaaznnzamatodlinazamator/inhilahMatchActivitvCrmData.php:172 — Added a three-line comment explaining that RateLimitExcention onlv reaches failed() when retrvüntil() expires while the iob is still+0M Client.ohralalUTF-8 LF PHP 88 Signin 8.3P...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X)
Open Chat
⌃
⌘
I
Show All Commands
⇧
⌘
P
Open Recent
⌃
R
Open File or Folder
⌘
O
New Untitled Text File
⌘
N
Opening Remote...
Opening Remote...
No Problems
0
0
No Ports Forwarded
0
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: (details) Initializing VS Code Server
Setting up SSH Host nas: (
details
details
) Initializing VS Code Server...
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Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X)
Open Chat
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Show All Commands
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Info: Setting up SSH Host nas: (details) Initializing VS Code Server
Setting up SSH Host nas: (
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NULL
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NULL
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21047
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919
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2026-05-11T17:05:09.245230+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519109245_m2.jpg...
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Code
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Visual Studio Code
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X)
Containers
EXPLORER
EXPLORER
No Folder Opened Section
NO FOLDER OPENED
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Connected to remote.
Open Folder
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Show All Commands
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No Ports Forwarded
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Notifications
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Sign In
Info: Downloading VS Code Server......
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8291038540143196174
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X)
Containers
EXPLORER
EXPLORER
No Folder Opened Section
NO FOLDER OPENED
NO FOLDER OPENED
Connected to remote.
Open Folder
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
Open Chat
⌃
⌘
I
Show All Commands
⇧
⌘
P
Open Recent
⌃
R
Open File or Folder
⌘
O
New Untitled Text File
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N
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
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Terminal (⌃`)
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Ports
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remote SSH: nas
SSH: nas
No Problems
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0
No Ports Forwarded
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Notifications
Sign In
Sign In
Info: Downloading VS Code Server......
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21046
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NULL
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NULL
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NULL
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21048
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918
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24
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2026-05-11T17:05:09.988255+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519109988_m1.jpg...
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Code
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Visual Studio Code
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1
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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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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Finder••DOCKER+ +FileEditViewGoWindowHelp₴81DEV (docker)₴2APP (-zsh)ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');APP (-zsh)-zsh-zsh>0 ll*5screenpipe"100% <78• Mon 11 May 20:05:09T81O ₴6-zsh*7 |+end diffAPPFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any container or image → docker debug docker_lamp_1Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfixdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diffPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any container or image » docker debug docker_1amp_1Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ I...
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NULL
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NULL
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NULL
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NULL
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21049
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919
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2026-05-11T17:05:09.991789+00:00
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Code
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Visual Studio Code
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
...
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4543230221098110932
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-3532557440141753958
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click
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hybrid
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
codeselectionViewlerminalWindowmelpEXPLORERV NO FOLDER OPENEDConnected to remote.PROBLEMSOUTPUTPORTS> OUTLINESõ31 TIMELINESSH: nas @OAo (o100% C4 & • Mon 11 May 20:05:09Open ChatShow All CommandsOpen RecentOpen File or FolderNew Untitled Text File+.00.lax8 Sign In...
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NULL
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21050
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919
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27
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2026-05-11T17:05:12.210886+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519112210_m2.jpg...
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Code
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Visual Studio Code
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Containers
EXPLORER
EXPLORER
No Folder Opened Section
NO FOLDER OPENED
NO FOLDER OPENED
Connected to remote.
Open Folder
You can clone a repository locally.
Clone a repository once the Git extension has activated
To learn more about how to use Git and source control in VS Code
read our docs
.
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
Open Chat
⌃
⌘
I
Show All Commands
⇧
⌘
P
Open Recent
⌃
R
Open File or Folder
⌘
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New Untitled Text File
⌘
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Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
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Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
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Activating Extensions...
Activating Extensions...
Notifications
Sign In
Sign In
Info: Downloading VS Code Server...
Open Folder
/home/Adm1n/
22 Results
OK
Show Local
..
..
.bun
.bun
.cache
.cache
.claude
.claude
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.codeium
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.config
.config
.copilot
.copilot
.docker
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.dotnet
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.nvm
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.rest-client
.rest-client
.ssh
.ssh
.th-client
.th-client
.vscode-server
.vscode-server
.windsurf-server
.windsurf-server
#recycle
#recycle
Music
Music
Online Document
Online Document
Photos
Photos...
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Run and Debug (⇧⌘D)
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Run and Debug (⇧⌘D)
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21054
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volume1
volume1...
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Source Control (⌃⇧G)
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volume1
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NULL
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21055
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919
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31
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2026-05-11T17:05:24.355214+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519124355_m2.jpg...
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Explorer (⇧⌘E)
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Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Info: Downloading VS Code Server...
Open Folder
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7 Results
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..
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app
app
data
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logs
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pipes
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Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
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7 Results
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..
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.git
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#recycle
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app
app
data
data
logs
logs
pipes
pipes...
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2026-05-11T17:05:27.723739+00:00
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.env — screenpipe [SSH: nas]
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[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true}]...
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7739306290408768343
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hybrid
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Explorer (⇧⌘E)
selectionViewlerminalWindowmelp100% Explorer (⇧⌘E)
selectionViewlerminalWindowmelp100% C. Q. Mon 11 May 20:05:27env — screenpipe SSH: nasдeV SCREENPIPE [SSH: NAS]> #recyclevapoconsumers> static.env* cli.py# db.pv# docker-compose.vml* Dockerfile# main.pv=requirements.txt• data>logs→oinec• aitianore* aoo settinas.ison=archive.db=archive.db-bal= do salite= dh calite-chmE dh calite-wall$ screennine svnc undated shi$ screenpipe_sync.shE screennine dhs apo settinas.isonscreenpipe_sync.sh•pipe.md• .envapp> @.envANTHROPIC [ENV_SECRET] ...•4 C;Implement and run pipe I... XPROBLEMSOUTPUTDEBUG CONSOLE+v0u.laxOUTIING1 TIMELINE*SSH: nas@0A0taacalaSpaces: 4 UTF-8 LF Dotenv88 SignIn...
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Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
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[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.057462092,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"bounds":{"left":0.0,"top":0.08619314,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.09577015,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 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2 require update","depth":19,"bounds":{"left":0.0,"top":0.23942538,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.2490024,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"bounds":{"left":0.009640957,"top":0.2601756,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"bounds":{"left":0.0,"top":0.27773345,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"bounds":{"left":0.0,"top":0.3160415,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"bounds":{"left":0.022606382,"top":0.047885075,"width":0.018949468,"height":0.02793296},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"bounds":{"left":0.022606382,"top":0.056664005,"width":0.018949468,"height":0.0103751},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.022606382,"top":0.056664005,"width":0.0023271276,"height":0.0103751}},{"char_start":1,"char_count":7,"bounds":{"left":0.024933511,"top":0.056664005,"width":0.01662234,"height":0.0103751}}],"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: nas]","depth":21,"bounds":{"left":0.015957447,"top":0.07581804,"width":0.09940159,"height":0.017557861},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"bounds":{"left":0.01662234,"top":0.07821229,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: nas]","depth":22,"bounds":{"left":0.022606382,"top":0.07581804,"width":0.045877658,"height":0.017557861},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: NAS]","depth":23,"bounds":{"left":0.022606382,"top":0.079010375,"width":0.045877658,"height":0.0103751},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.022606382,"top":0.07980846,"width":0.0026595744,"height":0.0103751}},{"char_start":1,"char_count":20,"bounds":{"left":0.025265958,"top":0.07980846,"width":0.043218084,"height":0.0103751}}],"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"bounds":{"left":0.019614361,"top":0.09577015,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"bounds":{"left":0.025930852,"top":0.09577015,"width":0.017287234,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.025930852,"top":0.096568234,"width":0.0026595744,"height":0.011971269}},{"char_start":1,"char_count":7,"bounds":{"left":0.028590426,"top":0.096568234,"width":0.01462766,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"bounds":{"left":0.019614361,"top":0.11332801,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"}]...
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Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
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Explorer (⇧⌘E)
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Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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Forwarded Ports: 8766
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Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
|
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CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"}]...
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accessibility
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519164025_m2.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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monitor_2
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.057462092,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"bounds":{"left":0.0,"top":0.08619314,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.09577015,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"bounds":{"left":0.0,"top":0.1245012,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.13407822,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"bounds":{"left":0.00831117,"top":0.1452514,"width":0.003656915,"height":0.008778931},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.00831117,"top":0.14604948,"width":0.0016622341,"height":0.007980846}},{"char_start":1,"char_count":1,"bounds":{"left":0.009973404,"top":0.14604948,"width":0.0023271276,"height":0.007980846}}],"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug 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place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"}]...
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-8763496505197737748
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idle
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accessibility
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes...
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920
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0
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2026-05-11T17:06:16.597103+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519176597_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
1
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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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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking
The container started before you updated the
.env
, so it's using the old placeholder key. Restart it to pick up the new one:
Copy code to clipboard
cd /volume1/screenpipe/app
sudo docker compose restart screenpipe-app
Then try again:
Copy code to clipboard
sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Message actions
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Message actions...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require 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/volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"curl -X POST \"http://localhost:8766/api/pipes/day-recap/run?d=2026-04-25\"","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":true,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The container started before you updated the","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", so it's using the old placeholder key. Restart it to pick up the new one:","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\nsudo docker compose restart screenpipe-app","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Then try again:","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-245730669492622091
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-8484554665838539576
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking
The container started before you updated the
.env
, so it's using the old placeholder key. Restart it to pick up the new one:
Copy code to clipboard
cd /volume1/screenpipe/app
sudo docker compose restart screenpipe-app
Then try again:
Copy code to clipboard
sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Message actions
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Message actions...
|
21058
|
NULL
|
NULL
|
NULL
|
|
21061
|
921
|
1
|
2026-05-11T17:06:34.547460+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519194547_m2.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
1
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key...
|
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Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"}]...
|
250811703306051361
|
-8763496496607803284
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519206927_m1.jpg...
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Implement and run pipe l… — screenpipe [SSH: nas]
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monitor_1
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The
day-recap
or
standup-update
pipes are the best ones to test first since they use all data sources. Which option works for you?
Message actions
how ot run for specifiday
Thinking
Thinking
Docker exec:
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25
# or shortcuts:
docker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday
docker exec -it screenpipe-app python cli.py pipe day-recap --date today
API:
Copy code to clipboard...
|
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"ANTHROPIC_API_KEY=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","depth":28,"on_screen":true,"value":"ANTHROPIC_API_KEY=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","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=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","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
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OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The
day-recap
or
standup-update
pipes are the best ones to test first since they use all data sources. Which option works for you?
Message actions
how ot run for specifiday
Thinking
Thinking
Docker exec:
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25
# or shortcuts:
docker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday
docker exec -it screenpipe-app python cli.py pipe day-recap --date today
API:
Copy code to clipboard...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U...
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U...
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NULL
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NULL
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NULL
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NULL
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21064
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920
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2
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2026-05-11T17:07:17.284111+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519237284_m1.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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1
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monitor_1
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking...
|
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#4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"curl -X POST \"http://localhost:8766/api/pipes/day-recap/run?d=2026-04-25\"","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":true,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":true,"role_description":"text"}]...
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2158626665587694396
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-8196324427125781304
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idle
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accessibility
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking...
|
21062
|
NULL
|
NULL
|
NULL
|
|
21065
|
921
|
3
|
2026-05-11T17:07:35.584854+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519255584_m2.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
1
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
|
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code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\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=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\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=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\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=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\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=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\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=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\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.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"}]...
|
-5020969173427241853
|
-8187034928260855700
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
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.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
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.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use 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.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
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